Information-driven modelling of biomolecular complexes. Challenges and perspectives

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• Alexandre M. J. J. Bonvin, NMR Spectroscopy Research Group, Bijvoet Center for Biomolecular Research, Faculty of Science, Utrecht University, 3584CH, Utrecht, The Netherlands.
• Wednesday 27 January 2010, 10:30-11:30
• Unilever Lecture Theatre, Unilever Centre, Chemistry, Department of.

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With the presently available amount of genetic information, a lot of attention focuses on systems biology and in particular on biomolecular interactions. Considering the huge number of such interactions, and their often weak and transient nature, conventional experimental methods such as X-ray crystallography and NMR spectroscopy will not be sufficient to gain structural insight into those. A wealth of biochemical and/or biophysical data can however easily be obtained for biomolecular complexes. Combining these data with docking, the process of modeling the 3D structure of a complex from its known components, should provide valuable structural information and complement the classical structural methods. We have developed for this purpose a data-driven docking approach called HADDOCK (High Ambiguity Driven protein–protein DOC King) (http://www.nmr.chem.uu.nl/haddock), which is now also available as web server (http://www.haddocking.org/). HADDOCK distinguishes itself from ab-initio docking methods in the fact that it encodes information from identified or predicted protein interfaces in ambiguous interaction restraints (AIRs) to drive the docking process. Flexibility is accounted for in different ways during the docking, which allows to model (small) conformational changes taking place during complex formation. In my talk I will present the current status of HADDOCK development and illustrate it with examples from our laboratory together with results from our participation to the blind docking experiment CAPRI (Critical Assessment of PRedicted Interactions) (http://capri.ebi.ac.uk). Finally I will discuss some of the still open challenges in this field.

References:

Dominguez C, Boelens R and Bonvin AMJJ (2003). HADDOCK : A protein-protein docking approach based on biochemical or biophysical information. J Am Chem Soc 125 1731-1737.

van Dijk ADJ , Boelens R and Bonvin AMJJ (2005). Data-driven docking for the study of biomolecular complexes. FEBS Journal 272 293-312.

van Dijk M, van Dijk ADJ , Hsu V, Kaptein R, Boelens R and Bonvin AMJJ (2006). Information-driven protein-DNA docking using HADDOCK : it is a matter of flexibility. Nucl. Acids Res. 34, 3317-3325.

de Vries SJ, van Dijk ADJ , Krzeminski,, M van Dijk M, Thureau A, Hsu V, Wassenaar T and Bonvin AMJJ (2007). HADDOCK versus HADDOCK : New features and performance of HADDOCK2 .0 on the CAPRI targets. Proteins: Struc. Funct. & Bioinformatic, 69, 726-733.

de Vries SJ and Bonvin AMJJ (2008). How proteins get in touch: Interface prediction in the study of biomolecular complexes. Curr. Pept. and Prot. Research 9, 394-406.

This talk is part of the Biophysical Colloquium - Chemistry Department series.

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