Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=10&ordering=-event__end_date
{ "count": 238, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=20&ordering=-event__end_date", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&ordering=-event__end_date", "results": [ { "id": 70156, "title": "CAS Leading Sustainable Business Operations", "slug": "cas-leading-sustainable-business-operations", "event_url": "https://memento.epfl.ch/event/cas-leading-sustainable-business-operations", "visual_url": "https://memento.epfl.ch/image/31616/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/31616/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/31616/max-size.jpg", "lang": "en", "start_date": "2026-09-10", "end_date": "2026-11-21", "start_time": null, "end_time": null, "description": "<em><strong>Navigate the pathway to sustainability</strong></em><br>\r\n<br>\r\nThe ability to balance sustainability, agility and resilient value chains is quickly becoming the defining differentiator for business operations professionals. People who solve problems every day, armed with sustainable solutions toolkits, are the untapped changemakers. We will equip you to leverage your expertise to build a better future.<br>\r\nSustainability is a term that has been thrown around organizations for nearly 4 decades. And yet, it remains a largely untapped potential and term often misunderstood as a state, rather than a mindset that must continuously adjust to changing industry practice and innovation. <strong>Gain the mindset, knowledge and tools you need to accelerate the transition to NET-Zero.</strong><br>\r\n<br>\r\nThis Certificate of Advanced Studies (formally entitled CAS in Circular Value Networks) runs from September 10<sup>th</sup> to November 21<sup>st,</sup> 2026 the EPFL Campus in Lausanne.<br>\r\n \r\n<ul>\r\n\t<li>12 days on Campus</li>\r\n\t<li>4 modules</li>\r\n\t<li>Flexible format</li>\r\n\t<li>Part-time</li>\r\n\t<li>15 ECTS</li>\r\n</ul>", "image_description": "", "creation_date": "2025-10-20T18:20:33", "last_modification_date": "2026-03-30T10:10:02", "link_label": "Webpage", "link_url": "https://www.epfl-executive-education.ch/srvc-cas-circular-value-networks/", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"http://go.epfl.ch/srvc\">EPFL Executive Education - Sustainable Resilient Value Chains</a>", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/118201/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/79/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/437/?format=api", "https://memento.epfl.ch/api/v1/mementos/438/?format=api" ] }, { "id": 66916, "title": "Information Days", "slug": "information-days", "event_url": "https://memento.epfl.ch/event/information-days", "visual_url": "https://memento.epfl.ch/image/28622/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/28622/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/28622/max-size.jpg", "lang": "en", "start_date": "2026-11-18", "end_date": "2026-11-20", "start_time": null, "end_time": null, "description": "<strong>Information Days 18-20.11.2026</strong><br>\r\nEPFL invites you to an essential event at the SwissTech Convention Center. Organized by the Education Promotion Service, in collaboration with the faculties, this event will allow you to discover academic programs, the student community, the faculty, as well as campus services and associations. It’s a unique opportunity to immerse yourself in life at EPFL, ask questions to students, faculty members, and researchers, and make an informed decision about your future.<br>\r\n<br>\r\n<a href=\"https://www.epfl.ch/education/bachelor/information-days/\">Official page</a> ↗︎<br>\r\nRegistration starting September 1, 2026 ↗︎<br>\r\nContact: <a href=\"mailto:[email protected]\">Education Promotion Service</a><br>\r\n<br>\r\n<strong>Information Days - Architecture Section SAR</strong><br>\r\nThis event is aimed at Swiss high school students, vocational schools offering a diploma, and international students. The Information Days include one day of presentations followed by one day of workshops. The <strong>architecture presentation</strong> (Novembre 18 and 19) covers key aspects of the architect profession and the foundations of the program. Career opportunities are also discussed, with questions answered by students from the architecture department. During the <strong>architecture workshop</strong>, emphasis is placed on practical learning. It includes a concrete exercise focused on observation and representation of spatial concepts, followed by group discussions in the afternoon.<br>\r\n<br>\r\n<strong>Indicative Workshop Program</strong><br>\r\n8:30 Welcome - <a href=\"https://share.google/X1SgCZ8Oqe8LvxXek\">SG Building</a>, <a href=\"https://plan.epfl.ch/?room==SG%20294.22\">SG foyer</a>, level 2, <a href=\"https://plan.epfl.ch/?room==SG%20294.22\">SG 294.22</a><br>\r\n9:00 Conference <br>\r\n10:00 Explanation of the exercise data<br>\r\n10:30 Start of the exercise<br>\r\n12:30 Lunch break<br>\r\n13:30 Resume the exercise<br>\r\n15:00 Group discussion<br>\r\n15:30 Summary, conclusion, film<br>\r\n16:00 End of workshop<br>\r\n<br>\r\n<strong>For these workshops, please bring your favourite medium: pencil, possibly in different hardnesses, coloured pencils, felt-tip pens, charcoal, gouache and brushes.</strong>", "image_description": "", "creation_date": "2024-09-13T09:01:04", "last_modification_date": "2026-02-09T11:13:14", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "<a href=\"https://www.epfl.ch/education/education-and-science-outreach/fr/promotion-de-l-education/\">Service de promotion de l'éducation (SPE)</a>, <a href=\"http://architecture.epfl.ch\">EPFL Architecture</a>", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "futur·es étudiant·es, gymnasien·nes, lycéen·nes", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/113399/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/391/?format=api" ] }, { "id": 69765, "title": "ISIC Faculty Lunch", "slug": "isic-faculty-lunch-7", "event_url": "https://memento.epfl.ch/event/isic-faculty-lunch-7", "visual_url": "https://memento.epfl.ch/image/31251/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/31251/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/31251/max-size.jpg", "lang": "en", "start_date": "2026-11-13", "end_date": "2026-11-13", "start_time": "12:00:00", "end_time": "14:00:00", "description": "<strong>Agenda</strong><br>\r\n12:10 – 12:30 25th Institute Anniversary<br>\r\n12:30 – 14:00 Standing Lunch", "image_description": "", "creation_date": "2025-09-09T11:23:01", "last_modification_date": "2026-03-03T09:22:00", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "Copernic", "url_place_and_room": "https://plan.epfl.ch/?room==CE%201%20711.1", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://www.epfl.ch/schools/sb/research/isic/\">Institute of Chemical Sciences and Engineering – ISIC</a>", "contact": "<a href=\"https://people.epfl.ch/marta.ruizcumi\">Marta Ruiz Cumi</a>", "is_internal": "True", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 2, "fr_label": "Sur invitation", "en_label": "Invitation required" }, "keywords": "ISICIntranet", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/117576/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/14/?format=api" ] }, { "id": 68778, "title": "ERC Synergy Grants", "slug": "erc-synergy-grants", "event_url": "https://memento.epfl.ch/event/erc-synergy-grants", "visual_url": "https://memento.epfl.ch/image/30331/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/30331/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/30331/max-size.jpg", "lang": "en", "start_date": "2026-11-05", "end_date": "2026-11-05", "start_time": null, "end_time": null, "description": "<strong>Call closed<br>\r\n<br>\r\nAim</strong><br>\r\nFor a group of <strong>two to maximum four Principal Investigators (PIs) </strong>working together and bringing different skills and resources to tackle ambitious research problems. One will be designated as the corresponding PI (cPI). The synergistic element to solve important research challenges is the key element for successful project proposals.<br>\r\n<br>\r\n<strong>Funding</strong><br>\r\nMax. EUR 10 Mio for a period of max. 6 years (including 25% overhead; pro rata temporis for shorter project duration). However, an additional EUR 4 million can be made available to cover eligible “start-up” costs for researchers moving from a third country to the EU or an associated country and/or the purchase of major equipment and/or access to large facilities and/or other major experimental and field work costs, including personnel costs.<br>\r\n<br>\r\n<strong>Eligibility</strong><br>\r\nNo specific eligibility criteria regarding the academic training are foreseen for ERC Synergy Grants. PIs must present a competitive<strong> </strong>track record as appropriate to their career stage.<br>\r\n<br>\r\n<strong>Deadline for proposal submissions</strong><br>\r\nTBC<br>\r\nProposals are submitted via the <a href=\"https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/calls-for-proposals?isExactMatch=true&status=31094501,31094502,31094503&order=DESC&pageNumber=1&pageSize=50&sortBy=startDate\">EU Funding & Tenders portal</a><br>\r\n<br>\r\n<strong>Support and information</strong>\r\n<ul>\r\n\t<li>EPFL toolkit , with budget calculator and useful information for the proposal preparation will be provided upon call opening.</li>\r\n\t<li>For proposal writing services and administrative assistance with the proposal preparation please contact <a href=\"mailto:[email protected]\">[email protected]</a>.</li>\r\n\t<li><a href=\"https://erc.europa.eu/apply-grant/synergy-grant\">ERC SyG webpage</a></li>\r\n</ul>", "image_description": "", "creation_date": "2025-03-26T17:32:18", "last_modification_date": "2025-11-17T14:28:11", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/116139/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/140/?format=api" ] }, { "id": 70385, "title": "Préparer sa vie post-professionnelle", "slug": "preparer-sa-vie-post-professionnelle-5", "event_url": "https://memento.epfl.ch/event/preparer-sa-vie-post-professionnelle-5", "visual_url": "https://memento.epfl.ch/image/31844/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/31844/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/31844/max-size.jpg", "lang": "en", "start_date": "2026-11-02", "end_date": "2026-11-03", "start_time": "08:45:00", "end_time": "16:30:00", "description": "<p>Prendre sa retraite après un long parcours professionnel ne va pas forcément de soi, si l'on pense à la place prise par le travail dans son parcours de vie. Le séminaire a pour objectif d'aider les participant.e.s à identifier les changement que cette transition introduira dans leur existence, afin d'anticiper et construire un nouvel équilibre de vie. Il s'agit également de conscientiser tous les aspects de cette période de la vie et les adaptations à réaliser, seul.e ou en couple, ainsi qui de définir les axes principaux et futures activités et projets. Les questions liées aux aspects financiers et au maintien de son capital santé, sont aussi abordées.</p>", "image_description": "", "creation_date": "2025-11-11T16:07:20", "last_modification_date": "2025-11-17T12:53:37", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/705", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api" ], "speaker": "AvantAge", "organizer": "KeepLearning", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/118551/", "category": { "id": 15, "code": "FORM", "fr_label": "Formations internes", "en_label": "Internal trainings", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/431/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 70194, "title": "COST", "slug": "cost", "event_url": "https://memento.epfl.ch/event/cost", "visual_url": "https://memento.epfl.ch/image/31649/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/31649/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/31649/max-size.jpg", "lang": "en", "start_date": "2026-10-30", "end_date": "2026-10-30", "start_time": null, "end_time": null, "description": "<strong>Call currently closed<br>\r\n<a href=\"https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwjq14HX8MjuAhXSiqQKHe8pDHQQFjAAegQIBhAC&url=https%3A%2F%2Fwww.cost.eu%2F&usg=AOvVaw1onEGi7vjLjH7u6Q2FPmNB\">COST</a> (European Cooperation in Science and Technology)</strong> is a funding programme that encourages networking of scientific and technological research activities throughout Europe and beyond. The aim is to facilitate breakthrough scientific developments leading to new concepts and products. COST does not fund research but supports networking (COST Actions) via different tools such as meetings, short-term scientific exchanges, training schools and dissemination activities. COST Actions have a duration of 4 years. The deadline to submit a COST Action is usually in October. COST Actions do not cover research funding. Integration into existing COST actions is possible.<br>\r\n<br>\r\nSwitzerland is one of the founding countries of COST and a full member of the COST Association. Thanks to this status, researchers in Switzerland are entitled to participate in COST Actions or to coordinate them and submit applications for new Actions. Thus, scientists based in Switzerland are fully eligible for all COST activities and for reimbursement of their related expenses.<br>\r\nSNSF provides support for the proposal preparation for COST Actions.<br>\r\n<br>\r\nFind information about open calls and guidelines on <a href=\"https://www.cost.eu/\"><strong>COST Europe</strong></a><br>\r\nContact <a href=\"https://www.snf.ch/en/EpxgsoxjZBQv6id1/funding/programmes/cost\"><strong>SNSF COST webpage</strong></a> for support services.<br>\r\nSNSF Contact: Ladina Knapp,<strong> </strong><a href=\"mailto:[email protected]\">[email protected]</a><strong> </strong><br>\r\nContact <a href=\"mailto:[email protected]\">[email protected]</a> for questions<br>\r\n<br>\r\n ", "image_description": "", "creation_date": "2025-10-23T14:32:45", "last_modification_date": "2025-10-23T14:51:56", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/118257/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/140/?format=api" ] }, { "id": 71376, "title": "EPFL Latsis Symposium 2026: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”", "slug": "epfl-latsis-symposium-2026-decoding-the-cell-model", "event_url": "https://memento.epfl.ch/event/epfl-latsis-symposium-2026-decoding-the-cell-model", "visual_url": "https://memento.epfl.ch/image/32724/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32724/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32724/max-size.jpg", "lang": "en", "start_date": "2026-10-29", "end_date": "2026-10-30", "start_time": null, "end_time": null, "description": "<p>The <strong>EPFL Latsis Symposium 2026<em>: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”</em></strong> will be held on <strong>October 29-30, 2026</strong>, at the <strong>Olympic Museum in Lausanne</strong>.<br>\r\n<br>\r\nThis international gathering will bring together leading scientists in single-cell analysis, computational modeling, and cellular engineering to explore how recent breakthroughs in multi-omics technologies, predictive algorithms, and synthetic biology are reshaping our understanding of cellular function.<br>\r\n<br>\r\nThrough interdisciplinary talks and discussions, the symposium will spotlight advances in single-cell multi-modal data integration, predictive modeling of cell identity and behavior, and the engineering of synthetic cell states. By connecting researchers across experimental and computational domains, the event aims to establish new conceptual and technological frameworks for modeling and controlling cellular systems.<br>\r\n<br>\r\nHosted by <strong>EPFL</strong>, the symposium will foster scientific exchange, spark new collaborations, and accelerate progress toward next-generation cell-based therapies, disease models, and synthetic biological innovations.<br>\r\n<br>\r\nJoin us in Lausanne to connect with the global community shaping the future of cell understanding and engineering.<br>\r\n<br>\r\n<strong>SPEAKERS:</strong><br>\r\n• <strong>Gray Camp</strong> – Research Group Leader at the Roche Institute for Translational Bioengineering (ITB) in Basel<br>\r\n• <strong>Barbara Engelhardt</strong> – Senior Investigator, Gladstone Institutes & Professor, Department of Biomedical Data Science at Stanford University<br>\r\n• <strong>Jeremy Gunawardena</strong> – Professor, Department of Medicine and Life Sciences (MELIS), Pompeu Fabra University, Barcelona<br>\r\n• <strong>Muzlifah Haniffa</strong> – Head of the Cellular Genomics Programme and Deputy Director of the Wellcome Sanger Institute and Professor of Clinical Dermatology at the University of Cambridge<br>\r\n• <strong>Anshul Kundaje</strong> – Associate Professor of Genetics and Computer Science at Stanford University<br>\r\n• <strong>Prisca Liberali </strong>– Professor at the Department of Biosystems Science and Engineering, ETHZ & Senior Group Leader at the Friedrich Miescher Institute for Biomedical Research<br>\r\n• <strong>Ewa Paluch</strong> – Professor of Anatomy in the Department of Physiology, Development and Neuroscience and Fellow of Trinity College at the University of Cambridge<br>\r\n• <strong>Steve Quake</strong> – Professor of Bioengineering and Applied Physics, Stanford University<br>\r\n• <strong>Sussane Rafelski</strong> – Sr. Director, Quantitative Biology at the Allen Institute for Cell Science<br>\r\n• <strong>Kevin Tsia</strong> – Professor in the Department of Electrical and Electronic Engineering and the Program Director of the Biomedical Engineering Program at the University of Hong Kong<br>\r\n• <strong>Bo Wang</strong> – Chief AI Scientist, Vector Institute & Assistant Professor, University of Toronto<br>\r\n<br>\r\nGenerously supported by\r\n</p><div class=\"wp-block-image\"><img alt=\"\" decoding=\"async\" height=\"147\" sizes=\"(max-width: 343px) 100vw, 343px\" src=\"https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo.png\" srcset=\"https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo.png 343w, https://www.epfl.ch/labs/deplanckelab/wp-content/uploads/2025/11/Fondation-Latsis-logo-300x129.png 300w\" width=\"343\"></div>", "image_description": "In a galaxy not so far, far away… Jakob J. Langer, Postdoctoral researcher, Lutolf Lab.", "creation_date": "2026-03-13T14:52:09", "last_modification_date": "2026-03-17T10:49:51", "link_label": "Registration link", "link_url": "https://latsis2026.epfl.ch/event/1/", "canceled": "False", "cancel_reason": "", "place_and_room": "Olympic Museum", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://www.epfl.ch/labs/deplanckelab/latsis-symposium-2026/epfl-latsis-symposium-2026-invited-speakers/\">SPEAKERS</a>", "organizer": "LATSIS Symposium 2026 Organizing Committee:<br>\r\nProf. Bart Deplancke, Prof. Maria Brbić and Prof. Giovanni D’Angelo", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120078/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/416/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 70957, "title": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "slug": "from-data-to-dynamics-machine-learning-in-statis-2", "event_url": "https://memento.epfl.ch/event/from-data-to-dynamics-machine-learning-in-statis-2", "visual_url": "https://memento.epfl.ch/image/32346/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32346/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32346/max-size.jpg", "lang": "en", "start_date": "2026-10-14", "end_date": "2026-10-16", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487\">https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\nSince its introduction in the 1970s, molecular dynamics (MD) has become an indispensable computational microscope for studying complex biological systems at atomic resolution. It has enabled detailed investigations into protein folding, conformational dynamics, and ligand binding and unbinding. Over the past decade, increasing computational power has made microsecond-scale simulations routine, producing massive datasets that demand sophisticated analysis strategies [1]. Despite these advances, conventional MD simulations still face a fundamental limitation: many biologically relevant events occur over milliseconds to seconds—timescales largely inaccessible to standard MD.<br>\r\nTo bridge this gap, researchers increasingly turn to enhanced sampling techniques—such as metadynamics and umbrella sampling [2,3]—and coarse-grained (CG) modeling approaches [4]. These methods enable more comprehensive exploration of the system’s free energy landscape, yet their success critically depends on the selection of appropriate reaction coordinates or collective variables (CVs). CVs must capture the slowest, most functionally relevant motions to accurately reflect thermodynamic and kinetic behavior. However, identifying suitable CVs remains one of the field’s most challenging tasks, typically requiring domain expertise and iterative refinement [5, 6].<br>\r\nThis complexity has fueled growing interest in machine learning (ML) techniques, which are now transforming how MD simulations are analyzed, interpreted, and even conducted. ML methods have been applied to automate CV discovery, perform dimensionality reduction, build thermodynamic and kinetic models, and enhance sampling efficiency [7]. These models often employ artificial neural networks or graph neural networks to map high-dimensional molecular configurations—such as Cartesian coordinates or molecular descriptors—into low-dimensional representations suitable for analysis [8].<br>\r\nDepending on the structure and type of data, ML algorithms can be broadly categorized into supervised, unsupervised, and reinforcement learning paradigms [9]. Supervised learning uses labeled input-output pairs to predict properties such as molecular energies or binding affinities [10], while unsupervised learning enables the identification of latent features, such as CVs, directly from data [11].<br>\r\nA cornerstone of modern ML-driven simulation is the development of symmetry-aware molecular representations. The predictive power of ML models hinges on encoding physical symmetries—like rotation and translation—directly into the model. E(3)-equivariant neural networks have emerged as powerful tools for this purpose, significantly improving data efficiency and generalization in learning potential energy surfaces [12]. Ongoing research continues to explore the optimal balance between enforcing strict symmetry and retaining model flexibility.<br>\r\nMeanwhile, breakthroughs in structural prediction—most notably the advent of AlphaFold 3—have revolutionized how researchers obtain initial molecular configurations. AlphaFold now provides remarkably accurate models of not only proteins but also their complexes with nucleic acids, ions, and small-molecule ligands [13]. However, these are static snapshots. They cannot capture dynamic behaviors, allosteric transitions, or binding kinetics—areas where physics-based simulations remain indispensable. Initial benchmarks suggest that even state-of-the-art predictors still fall short in modeling protein dynamics and ranking ligand binding affinities, further emphasizing the role of MD [14].<br>\r\nTo address the dimensionality and sampling bottlenecks, unsupervised ML approaches such as time-lagged autoencoders have reframed CV identification as a data-driven task. More recently, generative models—including diffusion models and variational autoencoders—have emerged as a new frontier. These models can learn the full conformational landscape of biomolecules and enable enhanced sampling, in some cases eliminating the need for predefined CVs altogether [15].<br>\r\nOnce accurate structural models and CVs are established, ML can significantly improve the estimation of thermodynamic and kinetic properties. In drug discovery, for instance, predicting protein–ligand binding affinity remains a central challenge. ML potentials trained on quantum mechanical data can be combined with enhanced sampling to yield highly accurate free energy landscapes and binding kinetics—results previously unattainable due to computational limitations [16]. However, challenges in data quality, model interpretability, and transferability remain critical areas of ongoing investigation [17].<br>\r\nFinally, ML is driving a renaissance in CG modeling. Deep neural networks can now learn many-body CG potentials directly from all-atom simulations, capturing emergent properties and enhancing transferability [18]. These models open the door to longer, larger-scale simulations with greater physical accuracy.<br>\r\nIn this rapidly evolving context, it becomes imperative to critically assess both the promise and limitations of ML in biomolecular simulation. The excitement surrounding these developments must be tempered by careful validation and benchmarking. This workshop thus serves as a timely opportunity—especially for early-career researchers—to explore these cutting-edge methods, engage in constructive dialogue, and chart new directions in the application of machine learning to molecular dynamics and drug discovery.<br>\r\n <br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.98.146401\" target=\"_blank\">[1] J. Behler, M. Parrinello, Phys. Rev. Lett., <strong>98</strong>, 146401 (2007)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2024.102972\" target=\"_blank\">[2] P. Sahrmann, G. Voth, Current Opinion in Structural Biology, <strong>90</strong>, 102972 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jcim.2c01127\" target=\"_blank\">[3] K. Kříž, L. Schmidt, A. Andersson, M. Walz, D. van der Spoel, J. Chem. Inf. Model., <strong>63</strong>, 412-431 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmolb.2022.899805\" target=\"_blank\">[4] K. Ahmad, A. Rizzi, R. Capelli, D. Mandelli, W. Lyu, P. Carloni, Front. Mol. Biosci., <strong>9</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-083122-125941\" target=\"_blank\">[5] S. Mehdi, Z. Smith, L. Herron, Z. Zou, P. Tiwary, Annual Review of Physical Chemistry, <strong>75</strong>, 347-370 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1101/2025.04.07.647682\" target=\"_blank\">[6] H. Zheng, H. Lin, A. Alade, J. Chen, E. Monroy, M. Zhang, J. Wang, AlphaFold3 in Drug Discovery: A Comprehensive Assessment of Capabilities, Limitations, and Applications, 2025</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-07487-w\" target=\"_blank\">[7] J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. Ballard, J. Bambrick, S. Bodenstein, D. Evans, C. Hung, M. O’Neill, D. Reiman, K. Tunyasuvunakool, Z. Wu, A. Žemgulytė, E. Arvaniti, C. Beattie, O. Bertolli, A. Bridgland, A. Cherepanov, M. Congreve, A. Cowen-Rivers, A. Cowie, M. Figurnov, F. Fuchs, H. Gladman, R. Jain, Y. Khan, C. Low, K. Perlin, A. Potapenko, P. Savy, S. Singh, A. Stecula, A. Thillaisundaram, C. Tong, S. Yakneen, E. Zhong, M. Zielinski, A. Žídek, V. Bapst, P. Kohli, M. Jaderberg, D. Hassabis, J. Jumper, Nature, <strong>630</strong>, 493-500 (2024)</a><br>\r\n[8] Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling, NIPS'20: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No.: 166, Pages 1970 - 1981 (2020)<br>\r\n<a href=\"https://doi.org/10.1080/00268976.2020.1737742\" target=\"_blank\">[9] H. Sidky, W. Chen, A. Ferguson, Molecular Physics, <strong>118</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2019.12.016\" target=\"_blank\">[10] Y. Wang, J. Lamim Ribeiro, P. Tiwary, Current Opinion in Structural Biology, <strong>61</strong>, 139-145 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0337-2\" target=\"_blank\">[11] K. Butler, D. Davies, H. Cartwright, O. Isayev, A. Walsh, Nature, <strong>559</strong>, 547-555 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-042018-052331\" target=\"_blank\">[12] F. Noé, A. Tkatchenko, K. Müller, C. Clementi, Annu. Rev. Phys. Chem., <strong>71</strong>, 361-390 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1080/23746149.2021.2006080\" target=\"_blank\">[13] S. Kaptan, I. Vattulainen, Advances in Physics: X, <strong>7</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1002/wcms.1455\" target=\"_blank\">[14] V. Limongelli, WIREs. Comput. Mol. Sci., <strong>10</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.0c01195\" target=\"_blank\">[15] A. Glielmo, B. Husic, A. Rodriguez, C. Clementi, F. Noé, A. Laio, Chem. Rev., <strong>121</strong>, 9722-9758 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2018.11.005\" target=\"_blank\">[16] A. Pak, G. Voth, Current Opinion in Structural Biology, <strong>52</strong>, 119-126 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1021/jacs.6b05602\" target=\"_blank\">[17] M. Lelimousin, V. Limongelli, M. Sansom, J. Am. Chem. Soc., <strong>138</strong>, 10611-10622 (2016)</a><br>\r\n<a href=\"https://doi.org/10.3390/e16010163\" target=\"_blank\">[18] C. Abrams, G. Bussi, Entropy, <strong>16</strong>, 163-199 (2013)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:07:22", "last_modification_date": "2026-01-26T16:45:31", "link_label": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "link_url": "https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Daniele Angioletti, </strong>Università della Svizzera Italiana (USI) ; <strong>Vincenzo Maria D'Amore, </strong>University of Naples \"Federico II\" ; <strong>Marco De Vivo, </strong>Istituto Italiano di Tecnologia ; <strong>Francesco Saverio Di Leva, </strong>University of Naples Federico II ; <strong>Vittorio Limongelli, </strong>Università della Svizzera Italiana USI Lugano ; <strong>Gregory Voth, </strong>University of Chicago", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119454/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 70656, "title": "Innovate with AI and Tech", "slug": "innovate-with-ai-and-tech-3", "event_url": "https://memento.epfl.ch/event/innovate-with-ai-and-tech-3", "visual_url": "https://memento.epfl.ch/image/32081/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32081/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32081/max-size.jpg", "lang": "en", "start_date": "2026-10-05", "end_date": "2026-10-09", "start_time": null, "end_time": null, "description": "<strong>Drive growth with new technologies</strong><br>\r\n<br>\r\nEPFL & IMD join forces to offer you a unique learning experience to drive innovation with game-changing technologies like AI, IoT, and robotics.<br>\r\n<br>\r\nNew technologies can greatly enhance your business value, enabling you to develop fresh products and services, boost productivity and save time. However, in a rapidly evolving field, how do you identify which tech solutions offer you the best opportunities to innovate and grow?<br>\r\n<br>\r\nThis 5-day program brings together business and technology experts to help you identify your most promising strategic opportunities using innovative technologies like AI, robotics, and quantum computing. You’ll leverage AI as your innovation partner, enhancing how you develop and validate solutions. You’ll cultivate an innovator’s mindset, gaining cutting-edge knowledge, skills, and the confidence to make impactful technology decisions.<br>\r\n<br>\r\nInnovate with AI and Tech is a must for leaders and managers in all business areas looking to leverage new technologies to drive faster innovation and growth.", "image_description": "", "creation_date": "2025-12-11T09:34:09", "last_modification_date": "2026-03-30T10:09:45", "link_label": "Website", "link_url": "https://www.imd.org/digital-transformation/iait/innovate-ai-technologies/", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "EPFL Executive Education & IMD", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "Innovation, AI, Tech", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/118976/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/416/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/437/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api" ] }, { "id": 70956, "title": "G protein-coupled receptors functional dynamics revealed by experimental and computational structural data", "slug": "g-protein-coupled-receptors-functional-dynamics-re", "event_url": "https://memento.epfl.ch/event/g-protein-coupled-receptors-functional-dynamics-re", "visual_url": "https://memento.epfl.ch/image/32345/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32345/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32345/max-size.jpg", "lang": "en", "start_date": "2026-10-07", "end_date": "2026-10-09", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488\">https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nG protein-coupled receptors (GPCRs) represent a vast and diverse class of transmembrane proteins that orchestrate a wide range of physiological processes by responding to both endogenous and exogenous ligands [1,2]. These receptors are essential to critical functions such as metabolism, immune regulation, neuronal signaling, and sensory perception - including vision and olfaction. Due to their physiological relevance and membrane accessibility, GPCRs are the targets of approximately 34% of all prescribed medications, accounting for nearly 27% of the global pharmaceutical market [3]. <br>\r\nDespite their pharmaceutical importance, key aspects of GPCR function remain elusive. The canonical activation model posits that agonist binding to the extracellular orthosteric site triggers allosteric changes - most notably, the outward displacement of transmembrane helices 5 (TM5) and 6 (TM6) on the intracellular side - ultimately leading to receptor activation [2-4]. However, recent evidence suggests a more nuanced mechanism. In several GPCRs, activation appears to involve cooperative engagement between the agonist and the G protein. For example, the G protein may disrupt an \"inactivating ionic lock\" - a salt bridge between TM3 and TM6 - while the agonist stabilizes the active conformation. In some receptors, this is complemented by the formation of an “activating ionic lock” between TM5 and TM6 [5-8]. These dual contributions are considered thermodynamically essential for full activation [7].<br>\r\nAdding further complexity, GPCR activity is regulated by conformational microswitches and finely tuned intra-protein interaction networks. These dynamic rearrangements are difficult to capture and often elude direct correlation with functional outcomes. Moreover, allosteric ligands - which bind sites distinct from the orthosteric pocket - are being increasingly identified [9-12], along with small molecules capable of biased signaling, i.e., preferential activation of specific intracellular pathways [11-13, 16, 17]. These findings reveal a rich and underexplored conformational landscape that governs GPCR signaling. In addition, native membrane components—such as lipids and interacting proteins, including GPCR oligomers—are known to significantly modulate receptor function [11, 18-22].<br>\r\nTo disentangle these intricacies, computational modeling has become indispensable, offering atomistic insight into GPCR conformational dynamics and mechanistic understanding [1-2, 7, 11, 14, 16–21, 23]. Nevertheless, key questions remain - particularly regarding the structural basis of biased signaling, strategies for leveraging allosteric networks in pharmacology, and the modulatory role of the lipid environment. Addressing these gaps is crucial for both fundamental biology and the rational design of next-generation GPCR-targeting drugs with improved selectivity and safety profiles. <br>\r\nThese scientific challenges form the foundation of our upcoming workshop, which will focus on the latest experimental and computational approaches for studying the functional dynamics of GPCRs. Given the profound health, economic, and societal implications of modulating these receptors with precision, we aim to strengthen the interdisciplinary nature of the event by increasing the representation of experimental research and integrating cutting-edge artificial intelligence applications into the program.<br>\r\nBuilding upon the success of the 2022 and 2024 editions - which led to new collaborations and a landmark publication in <em>Nature Reviews Drug Discovery</em> [24] - our goal is to further enhance communication and collaboration between experimentalists and theoreticians. The workshop will serve as a reference point for young scientists and students, offering a platform to interact with leading international experts. We are confident that this initiative will foster insightful discussions and contribute meaningfully to advancing the field of GPCR pharmacology.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1038/nrd.2017.229\" target=\"_blank\">[1] J. Smith, R. Lefkowitz, S. Rajagopal, Nat. Rev. Drug. Discov., <strong>17</strong>, 243-260 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-024-01083-3\" target=\"_blank\">[2] P. Conflitti, E. Lyman, M. Sansom, P. Hildebrand, H. Gutiérrez-de-Terán, P. Carloni, T. Ansell, S. Yuan, P. Barth, A. Robinson, C. Tate, D. Gloriam, S. Grzesiek, M. Eddy, S. Prosser, V. Limongelli, Nat. Rev. Drug. Discov., <strong>24</strong>, 251-275 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41589-024-01682-6\" target=\"_blank\">[3] L. Picard, A. Orazietti, D. Tran, A. Tucs, S. Hagimoto, Z. Qi, S. Huang, K. Tsuda, A. Kitao, A. Sljoka, R. Prosser, Nat. Chem. Biol., <strong>21</strong>, 71-79 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.drudis.2020.10.006\" target=\"_blank\">[4] B. Huang, C. St. Onge, H. Ma, Y. Zhang, Drug Discovery Today, <strong>26</strong>, 189-199 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-023-42082-z\" target=\"_blank\">[5] D. Di Marino, P. Conflitti, S. Motta, V. Limongelli, Nat. Commun., <strong>14</strong>, 6439 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.ceb.2018.10.007\" target=\"_blank\">[6] G. Milligan, R. Ward, S. Marsango, Current Opinion in Cell Biology, <strong>57</strong>, 40-47 (2019)</a><br>\r\n<a href=\"https://doi.org/10.7554/elife.73901\" target=\"_blank\">[7] S. Huang, O. Almurad, R. Pejana, Z. Morrison, A. Pandey, L. Picard, M. Nitz, A. Sljoka, R. Prosser, eLife, <strong>11</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-pharmtox-010919-023411\" target=\"_blank\">[8] A. Duncan, W. Song, M. Sansom, Annu. Rev. Pharmacol. Toxicol., <strong>60</strong>, 31-50 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-60003-0\" target=\"_blank\">[9] A. Morales-Pastor, T. Miljuš, M. Dieguez-Eceolaza, T. Stępniewski, V. Ledesma-Martin, F. Heydenreich, T. Flock, B. Plouffe, C. Le Gouill, J. Duchaine, D. Sykes, C. Nicholson, E. Koers, W. Guba, A. Rufer, U. Grether, M. Bouvier, D. Veprintsev, J. Selent, Nat. Commun., <strong>16</strong>, 5265 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-022-05588-y\" target=\"_blank\">[10] A. Faouzi, H. Wang, S. Zaidi, J. DiBerto, T. Che, Q. Qu, M. Robertson, M. Madasu, A. El Daibani, B. Varga, T. Zhang, C. Ruiz, S. Liu, J. Xu, K. Appourchaux, S. Slocum, S. Eans, M. Cameron, R. Al-Hasani, Y. Pan, B. Roth, J. McLaughlin, G. Skiniotis, V. Katritch, B. Kobilka, S. Majumdar, Nature, <strong>613</strong>, 767-774 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-022-31652-2\" target=\"_blank\">[11] M. Wall, E. Hill, R. Huckstepp, K. Barkan, G. Deganutti, M. Leuenberger, B. Preti, I. Winfield, S. Carvalho, A. Suchankova, H. Wei, D. Safitri, X. Huang, W. Imlach, C. La Mache, E. Dean, C. Hume, S. Hayward, J. Oliver, F. Zhao, D. Spanswick, C. Reynolds, M. Lochner, G. Ladds, B. Frenguelli, Nat. Commun., <strong>13</strong>, 4150 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41580-018-0049-3\" target=\"_blank\">[12] D. Wootten, A. Christopoulos, M. Marti-Solano, M. Babu, P. Sexton, Nat. Rev. Mol. Cell. Biol., <strong>19</strong>, 638-653 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-017-0011-7\" target=\"_blank\">[13] D. Hilger, M. Masureel, B. Kobilka, Nat. Struct. Mol. Biol., <strong>25</strong>, 4-12 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-57034-y\" target=\"_blank\">[14] D. Aranda-García, T. Stepniewski, M. Torrens-Fontanals, A. García-Recio, M. Lopez-Balastegui, B. Medel-Lacruz, A. Morales-Pastor, A. Peralta-García, M. Dieguez-Eceolaza, D. Sotillo-Nuñez, T. Ding, M. Drabek, C. Jacquemard, J. Jakowiecki, W. Jespers, M. Jiménez-Rosés, V. Jun-Yu-Lim, A. Nicoli, U. Orzel, A. Shahraki, J. Tiemann, V. Ledesma-Martin, F. Nerín-Fonz, S. Suárez-Dou, O. Canal, G. Pándy-Szekeres, J. Mao, D. Gloriam, E. Kellenberger, D. Latek, R. Guixà-González, H. Gutiérrez-de-Terán, I. Tikhonova, P. Hildebrand, M. Filizola, M. Babu, A. Di Pizio, S. Filipek, P. Kolb, A. Cordomi, T. Giorgino, M. Marti-Solano, J. Selent, Nat. Commun., <strong>16</strong>, 2020 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0259-z\" target=\"_blank\">[15] D. Thal, A. Glukhova, P. Sexton, A. Christopoulos, Nature, <strong>559</strong>, 45-53 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.tips.2020.12.005\" target=\"_blank\">[16] L. Slosky, M. Caron, L. Barak, Trends in Pharmacological Sciences, <strong>42</strong>, 283-299 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.apsb.2023.07.020\" target=\"_blank\">[17] C. Zhu, X. Lan, Z. Wei, J. Yu, J. Zhang, Acta Pharmaceutica Sinica B, <strong>14</strong>, 67-86 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.chempr.2024.08.004\" target=\"_blank\">[18] V. D’Amore, P. Conflitti, L. Marinelli, V. Limongelli, Chem, <strong>10</strong>, 3678-3698 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41557-023-01238-6\" target=\"_blank\">[19] A. Mafi, S. Kim, W. Goddard, Nat. Chem., <strong>15</strong>, 1127-1137 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-024-01334-2\" target=\"_blank\">[20] H. Batebi, G. Pérez-Hernández, S. Rahman, B. Lan, A. Kamprad, M. Shi, D. Speck, J. Tiemann, R. Guixà-González, F. Reinhardt, P. Stadler, M. Papasergi-Scott, G. Skiniotis, P. Scheerer, B. Kobilka, J. Mathiesen, X. Liu, P. Hildebrand, Nat. Struct. Mol. Biol., <strong>31</strong>, 1692-1701 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2015.04.043\" target=\"_blank\">[21] A. Manglik, T. Kim, M. Masureel, C. Altenbach, Z. Yang, D. Hilger, M. Lerch, T. Kobilka, F. Thian, W. Hubbell, R. Prosser, B. Kobilka, Cell, <strong>161</strong>, 1101-1111 (2015)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2020.03.003\" target=\"_blank\">[22] M. Congreve, C. de Graaf, N. Swain, C. Tate, Cell, <strong>181</strong>, 81-91 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-025-01139-y\" target=\"_blank\">[23] J. Lorente, A. Sokolov, G. Ferguson, H. Schiöth, A. Hauser, D. Gloriam, Nat. Rev. Drug. Discov., <strong>24</strong>, 458-479 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1111/bph.16495\" target=\"_blank\">[24] M. Lopez‐Balastegui, T. Stepniewski, M. Kogut‐Günthel, A. Di Pizio, M. Rosenkilde, J. Mao, J. Selent, British. J. Pharmacology., <strong>182</strong>, 3211-3224 (2024)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:00:31", "last_modification_date": "2026-01-26T16:45:08", "link_label": "G protein-coupled receptors functional dynamics revealed by experimental and computational structura", "link_url": "https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Vittorio Limongelli</strong>, Università della Svizzera Italiana USI Lugano ; <strong>Scott Prosser</strong>, University of Toronto ; <strong>Stefano Raniolo</strong>, Università della Svizzera Italiana ; <strong>Jana Selent</strong>, Hospital Del Mar Medical Research Institute", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119453/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] } ] }
