High-Resolution, Integrative Modelling of Biomolecular Complexes from Fuzzy Data
Event details
| Date | 01.05.2018 |
| Hour | 10:00 |
| Speaker | Prof. Alexandre Bonvin, Utrecht University (NL) |
| Location | |
| Category | Conferences - Seminars |
BIOENGINEERING SEMINAR
Abstract:
The prediction of the quaternary structure of biomolecular macromolecules is of paramount importance for fundamental understanding of cellular processes and drug design. In the era of integrative structural biology, one way of increasing the accuracy of modelling methods used to predict the structure of biomolecular complexes is to include as much experimental or predictive information as possible in the process.
We have developed for this purpose a versatile information-driven docking approach HADDOCK (http://www.bonvinlab.org/software). HADDOCK can integrate information derived from biochemical, biophysical or bioinformatics methods to enhance sampling, scoring, or both. The information that can be integrated is quite diverse: interface restraints from NMR, mutagenesis experiments, or bioinformatics predictions; shape data from small-angle X-ray scattering and, recently, cryo-electron microscopy experiments. In my talk, I will illustrate HADDOCK’s capabilities with various examples.
Bio:
Alexandre Bonvin (1964) studied Chemistry at Lausanne University, Switzerland and obtained his PhD at Utrecht University in the Netherlands (1993). After two post-doc periods at Yale University (USA) and the ETHZ (CH) he joined Utrecht University in 1998 where he was appointed full professor of computational structural biology in 2009. In 2006, he received a prestigious VICI grant from the Dutch Research Council. He was director of chemical education from February 2009 until February 2012 and vice head of the Chemistry Department from 2010 until April 2012. He is participating to several EU projects including the BioExcel Center of Excellence in Biomolecular Simulations. His work has resulted in over 200 peer-reviewed publications.
ISI Web of Science, author ID: A-5420-2009 Google Scholar Citations ORCID: http://orcid.org/0000-0001-7369-1322
Abstract:
The prediction of the quaternary structure of biomolecular macromolecules is of paramount importance for fundamental understanding of cellular processes and drug design. In the era of integrative structural biology, one way of increasing the accuracy of modelling methods used to predict the structure of biomolecular complexes is to include as much experimental or predictive information as possible in the process.
We have developed for this purpose a versatile information-driven docking approach HADDOCK (http://www.bonvinlab.org/software). HADDOCK can integrate information derived from biochemical, biophysical or bioinformatics methods to enhance sampling, scoring, or both. The information that can be integrated is quite diverse: interface restraints from NMR, mutagenesis experiments, or bioinformatics predictions; shape data from small-angle X-ray scattering and, recently, cryo-electron microscopy experiments. In my talk, I will illustrate HADDOCK’s capabilities with various examples.
Bio:
Alexandre Bonvin (1964) studied Chemistry at Lausanne University, Switzerland and obtained his PhD at Utrecht University in the Netherlands (1993). After two post-doc periods at Yale University (USA) and the ETHZ (CH) he joined Utrecht University in 1998 where he was appointed full professor of computational structural biology in 2009. In 2006, he received a prestigious VICI grant from the Dutch Research Council. He was director of chemical education from February 2009 until February 2012 and vice head of the Chemistry Department from 2010 until April 2012. He is participating to several EU projects including the BioExcel Center of Excellence in Biomolecular Simulations. His work has resulted in over 200 peer-reviewed publications.
ISI Web of Science, author ID: A-5420-2009 Google Scholar Citations ORCID: http://orcid.org/0000-0001-7369-1322
Practical information
- Informed public
- Free
Organizer
Contact
- Institute of Bioengineering (IBI, Dietrich REINHARD)