Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=150&ordering=-slug
{ "count": 238, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=160&ordering=-slug", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=140&ordering=-slug", "results": [ { "id": 71068, "title": "Herzog & .... Labs", "slug": "herzog-labs", "event_url": "https://memento.epfl.ch/event/herzog-labs", "visual_url": "https://memento.epfl.ch/image/32446/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32446/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32446/max-size.jpg", "lang": "en", "start_date": "2026-04-29", "end_date": "2026-04-29", "start_time": "12:15:00", "end_time": "13:15:00", "description": "<em>Hybrid - By invitation only</em><br>\r\n<br>\r\nHerzog Lab: Martina Morea<br>\r\n<br>\r\nTitle: Seeing Comes After Grouping: How the Brain Builds Visual Perception<br>\r\n<br>\r\n<br>\r\n ", "image_description": "", "creation_date": "2026-02-09T02:24:48", "last_modification_date": "2026-02-20T12:57:33", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Martina Morea", "organizer": "SV BMI", "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/119615/", "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/19/?format=api" ] }, { "id": 71001, "title": "Gestion de projet européen - Projets ERC et MSCA", "slug": "gestion-de-projet-europeen-projets-erc-et-msca-2", "event_url": "https://memento.epfl.ch/event/gestion-de-projet-europeen-projets-erc-et-msca-2", "visual_url": "https://memento.epfl.ch/image/32389/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32389/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32389/max-size.jpg", "lang": "en", "start_date": "2026-11-26", "end_date": "2026-11-26", "start_time": "09:30:00", "end_time": "12:00:00", "description": "<p>Programmes-cadres européens de la recherche et de l’innovation.<br>\r\n<br>\r\nVotre laboratoire participe à un ou plusieurs projets européens et une de vos missions est d’en assurer une gestion efficace au niveaux administratif, financier et celui des ressources humaines ? Pour cela, il est important de prendre le temps de vous familiariser avec la structure de ces projets et avec certaines règles de gestion qui leurs sont spécifiques.<br>\r\n<br>\r\nCette formation vous propose de prendre connaissance des documents contractuels et de leur contenu qui est utile pour votre gestion. Les règles de gestion administrative, financière et RH seront présentées et discutées en se basant sur des cas pratiques.<br>\r\nLa formation permettra aussi aux participants de se familiariser avec le portail européen et la plateforme de reporting du SEFRI.<br>\r\n<br>\r\nIl est recommandé de suivre cette formation le plus tôt possible, idéalement vers le commencement du projet.</p>", "image_description": "", "creation_date": "2026-01-30T10:11:14", "last_modification_date": "2026-01-30T10:12:40", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/565", "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": "EU-Funding Team of the Research Office", "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/119525/", "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": 71000, "title": "Gestion de projet européen - Projets collaboratifs", "slug": "gestion-de-projet-europeen-projets-collaboratifs-2", "event_url": "https://memento.epfl.ch/event/gestion-de-projet-europeen-projets-collaboratifs-2", "visual_url": "https://memento.epfl.ch/image/32388/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32388/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32388/max-size.jpg", "lang": "en", "start_date": "2026-09-01", "end_date": "2026-09-01", "start_time": "09:30:00", "end_time": "12:00:00", "description": "<p>Programmes-cadres européens de la recherche et de l’innovation.<br>\r\n<br>\r\nVotre laboratoire participe à un ou plusieurs projets européens et une de vos missions est d’en assurer une gestion efficace au niveaux administratif, financier et celui des ressources humaines ? Pour cela, il est important de prendre le temps de vous familiariser avec la structure de ces projets et avec certaines règles de gestion qui leurs sont spécifiques.<br>\r\n<br>\r\nCette formation vous propose de prendre connaissance des documents contractuels et de leur contenu qui est utile pour votre gestion. Les règles de gestion administrative, financière et RH seront présentées et discutées en se basant sur des cas pratiques.<br>\r\nLa formation permettra aussi aux participants de se familiariser avec le portail européen et la plateforme de reporting du SEFRI.<br>\r\n<br>\r\nIl est recommandé de suivre cette formation le plus tôt possible, idéalement vers le commencement du projet.</p>", "image_description": "", "creation_date": "2026-01-30T10:08:17", "last_modification_date": "2026-01-30T10:10:37", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/565", "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": "EU-Funding Team of the Research Office", "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/119523/", "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": 71507, "title": "Genome-wide mapping of Transcription Factors' Footprints: Probing Noncoding Variants of Human Diseases", "slug": "genome-wide-mapping-of-transcription-factors-footp", "event_url": "https://memento.epfl.ch/event/genome-wide-mapping-of-transcription-factors-footp", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-05-08", "end_date": "2026-05-08", "start_time": "15:00:00", "end_time": "16:00:00", "description": "", "image_description": "", "creation_date": "2026-03-31T15:22:33", "last_modification_date": "2026-03-31T15:22:33", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<strong>Professor Xiaoliang Sunney Xie</strong><br>\r\nDirector of Changping Laboratory, Beijing, China<br>\r\nLee Shau Kee Chair Professor, Peking University, Haidian District, Beijing, China<br>\r\nhttps://www.cpl.ac.cn/en/Directors_Message/index.html ", "organizer": "Pr. Johan Auwerx", "contact": "Pr. Johan Auwerx: [email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": "https://memento.epfl.ch/public/upload/files/SEMSunneyXie0526LISP.pdf", "icalendar_url": "https://memento.epfl.ch/event/export/120252/", "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/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api" ] }, { "id": 70935, "title": "Genome-wide in vitro reconstitution to study nucleosome positioning and chromatin architecture", "slug": "genome-wide-in-vitro-reconstitution-to-study-nucle", "event_url": "https://memento.epfl.ch/event/genome-wide-in-vitro-reconstitution-to-study-nucle", "visual_url": "https://memento.epfl.ch/image/32323/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32323/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32323/max-size.jpg", "lang": "en", "start_date": "2026-05-20", "end_date": "2026-05-20", "start_time": "17:00:00", "end_time": "18:30:00", "description": "<p>Access to genetic information within the cell nucleus is regulated by the distribution of nucleosomes, which are the basic unit of chromatin. Local access to specific genomic regions is facilitated by repositioning nucleosomes to enable transcription and other nuclear processes. Nucleosome positioning is primarily regulated by ATP-dependent chromatin remodeling enzymes (CRs) that belong to the Snf2-type helicase family. These enzymes disrupt histone-DNA contacts by consuming ATP. The functions of CRs can be redundant or essential, complicating their study in vivo. To address this, we employ a unique bottom-up approach, in which we reconstitute chromatin in vitro using purified proteins and a yeast genomic plasmid library. To elucidate the diverse remodeling functions of CRs, we add purified CRs in combination with various transcription factors to the in vitro reconstituted chromatin. The resulting changes in nucleosome positioning are monitored using MNase-seq. Depending on the type of CR used, we observe distinct nucleosome positioning patterns. Furthermore, we have expanded our in vitro reconstitution approach to explore the 3D genome organization of reconstituted chromatin, discovering a role for CRs in the 3D genome organization of <em>S. cerevisiae</em>.</p>", "image_description": "", "creation_date": "2026-01-23T09:41:37", "last_modification_date": "2026-03-10T12:18:20", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BCH 2218", "url_place_and_room": "https://plan.epfl.ch/?room==BCH%202218", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://www.uni-goettingen.de/en/689675.html\">Elisa Oberbeckmann</a> (University of Goettingen)", "organizer": "Professeur Beat Fierz", "contact": "Marie Munoz", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "CBseminar", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119413/", "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/14/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?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" ] }, { "id": 71179, "title": "Full speed... But Where are Women in Formula 1?", "slug": "full-speed-but-where-are-women-in-formula-1", "event_url": "https://memento.epfl.ch/event/full-speed-but-where-are-women-in-formula-1", "visual_url": "https://memento.epfl.ch/image/32754/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32754/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32754/max-size.jpg", "lang": "en", "start_date": "2026-04-27", "end_date": "2026-04-27", "start_time": "18:00:00", "end_time": "21:00:00", "description": "<p>Extreme speed, millimeter precision, cutting-edge engineering, split-second strategic decisions — a world where every detail counts and performance is everything.<br>\r\nBut behind this high-tech spectacle, one question remains:<br>\r\n<br>\r\n<strong>Where are women?</strong><br>\r\n<br>\r\nIn 2026, while F1 embodies innovation and excellence, it remains one of the most male-dominated professional sports.<br>\r\nCoincidence… or a reflection of deeper, systemic mechanisms?<br>\r\n<br>\r\nThe EPFL Alumni Women Club, in partnership with EPFL Alumni, invites you to go beyond the surface, to understand the forces holding women back in F1.<br>\r\n<br>\r\nIn this open discussion, we will tackle the real questions:<br>\r\n— Is Formula 1 truly accessible to everyone?<br>\r\n— Are the barriers cultural, educational, physical… or systemic?<br>\r\n— Who decides today who gets to join the grid?<br>\r\n— And what role do the media, sponsors, and public play in maintaining—or challenging—this imbalance?<br>\r\n<br>\r\nA high-level exchange at the crossroads of sport, technology, and societal issues. This event offers a deep dive into the backstage of an iconic sport, decoding its codes and structures.<br>\r\nThe goal: to understand, but also to explore concrete levers for change.<br>\r\n<br>\r\nWe are honored to welcome key figures from the paddock:<br>\r\n<br>\r\n<strong>- Mattia Binotto</strong> EPFL engineer, Head of Audi F1 Project: Audi officially enters the FIA Formula 1 World Championship in 2026<br>\r\n<strong>- Laura Villars </strong>First woman candidate for FIA presidency 2025, and racing driver<br>\r\n<strong>- Vita Marina</strong> Project Manager of Power Unit Mechanical Systems at Audi Revolut F1 Team<br>\r\n- and <strong>other exclusive guests !</strong><br>\r\n<br>\r\n<strong>And to cap it off:</strong><br>\r\nExperience the new <a href=\"http://epflracingteam.ch/fr/\" rel=\"noopener noreferrer\" target=\"_blank\">EPFL Racing Team</a> car in an exclusive first look, followed by a guided tour of their workshops and laboratories.<br>\r\n<br>\r\nEvent in English</p>", "image_description": "", "creation_date": "2026-02-19T09:33:43", "last_modification_date": "2026-03-19T09:40:36", "link_label": "REGISTRATION", "link_url": "https://epflalumni.ch/fr/event/save-the-date-women-in-formula-1/2026/02/19/1102", "canceled": "False", "cancel_reason": "", "place_and_room": "RLC E1 240", "url_place_and_room": "https://plan.epfl.ch/?room==RLC%20E1%20240", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://epflalumni.ch/fr/group/women-s-club/34/about\" rel=\"noopener noreferrer\" target=\"_blank\">EPFL Alumni Women Club</a> & <a href=\"https://epflalumni.ch/fr\">EPFL Alumni</a>", "contact": "<a href=\"mailto:[email protected]?subject=Full%20speed...%20But%20Where%20are%20Women%20in%20Formula%201%3F\">Emmanuelle Yanguas</a>", "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/119794/", "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/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71498, "title": "From Helical Motifs to Oral Drugs: Design Principles for Bioavailable Macrocyclic Peptides", "slug": "from-helical-motifs-to-oral-drugs-design-principle", "event_url": "https://memento.epfl.ch/event/from-helical-motifs-to-oral-drugs-design-principle", "visual_url": "https://memento.epfl.ch/image/32840/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32840/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32840/max-size.jpg", "lang": "en", "start_date": "2026-04-20", "end_date": "2026-04-20", "start_time": "14:15:00", "end_time": "15:15:00", "description": "<p>In this seminar, I will discuss our efforts to design conformationally constrained helical macrocyclic peptides and outline the principles that enable effective targeting of protein–protein interactions beyond classical stapled peptides. In the second part, I will show how a subtle isosteric backbone modification—thioamidation—can be used to impart oral bioavailability to bioactive macrocyclic peptides. I will further illustrate how conformational restriction enhances membrane permeability and highlight the critical role of metabolic stability in achieving oral bioavailability.</p>", "image_description": "Prof. Jayanta Chatterjee", "creation_date": "2026-03-30T19:14:23", "last_modification_date": "2026-03-30T19:24:00", "link_label": "Publications Prof. Jayanta Chatterjee", "link_url": "https://scholar.google.com/citations?user=r0aQPNIAAAAJ&hl=en", "canceled": "False", "cancel_reason": "", "place_and_room": "BCH 3118", "url_place_and_room": "https://plan.epfl.ch/?room==BCH%203118", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Prof. Jayanta Chatterjee, Indian Institute of Science, Bangalore, India", "organizer": "C. Heinis", "contact": "C. Heinis", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "cbseminar", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120241/", "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/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/14/?format=api" ] }, { "id": 70968, "title": "From Functional Genomics to Tissue Models: Investigating Pseudomonas aeruginosa-Macrophage Interactions", "slug": "from-functional-genomics-to-tissue-models-invest-2", "event_url": "https://memento.epfl.ch/event/from-functional-genomics-to-tissue-models-invest-2", "visual_url": "https://memento.epfl.ch/image/32356/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32356/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32356/max-size.jpg", "lang": "en", "start_date": "2026-04-24", "end_date": "2026-04-24", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. A. L. A. Persat,<br>\r\nBiotechnology and Bioengineering doctoral program<br>\r\nThesis Nr. 11340<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-01-27T10:25:22", "last_modification_date": "2026-01-27T10:25:22", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "", "spoken_languages": [], "speaker": "<strong>Tania DISTLER</strong>", "organizer": "", "contact": "<strong>Tania DISTLER</strong>", "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": "EDBB", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119475/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "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/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?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. 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