NWO-CW VICI Laureate 2006
Major research interests/expertise:
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 FP7 WeNMR e-Infrastructure project, which he is coordinating (http://www.wenmr.eu). His work has resulted in over 140 peer-reviewed publications (Research ID A-5420-2009).
Research ID: A-5420-2009
ORCID ID: 0000-0001-7369-1322
Google Scholar Citations
Research within the computational structural biology group focuses on the development of reliable bioinformatics and computational approaches to predict, model and dissect biomolecular interactions at atomic level. For this, bioinformatics data, structural information and available biochemical or biophysical experimental data are combined to drive the modelling process. This is implemented and further developed in the widely used HADDOCK software for the modelling of biomolecular complexes (http://haddock.science.uu.nl).
By following a holistic approach integrating various experimental information sources with computational structural biology methods we aim at obtaining a comprehensive description of the structural and dynamic landscape of complex biomolecular machines, adding the structural dimension to interaction networks and opening the route to systematic and genome-wide studies of biomolecular interactions.
Selected publications (from over 130)
WeNMR is both a three years project funded under the European Commission’s 7th Framework Programme (e-Infrastructure RI-261571) and a Virtual Research Community supported by EGI, the largest one within the life science area. WeNMR aims at bringing together complementary research teams in the structural biology and life science area into a virtual research community at a worldwide level and provide them with a platform integrating and streamlining the computational approaches necessary for NMR and SAXS data analysis and structural modelling.