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(2010.12.20 4:00pm,S1013)Prediction of protein-protein interaction sites, pair-wise, and multiple protein docking
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Update time: 2010-12-13
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Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:
Prof.Daisuke Kihara,Department of Biological Sciences/Computer Science,Purdue University, West Lafayette, IN, USA
Title:
Prediction of protein-protein interaction sites, pair-wise, and multiple protein docking
Time:
2010.12.20 4:00pm
Venue:
S1013
Abstract:

Protein-protein binding events mediate many important biological functions in the cell. Interaction of proteins can be detected by experimental methods, such as the yeast two hybrid system, which can reveal a large network of interacting proteins in an organism. To provide molecular view of interacting proteins, it is important to establish computational methods which can predict residues that are involved in the interaction sites of proteins and methods which can predict the three dimensional structure of interacting proteins. Our group has been developed a series of methods for these tasks. In this presentation, first we will introduce a protein-protein interaction (PPI) site prediction method, named BindML. BindML predicts PPI sites by detecting mutation pattern at protein surface that specific to PPI sites. Next, we present a protein docking algorithm, LZerD (BMC Bioinformatics. 2009 10:407.). LZerD uses the 3D Zernike descriptor, a rotational invariant mathematical representation of protein surfaces, to detect shape complementarity of interaction sites. LZerD showed superior results to existing methods. Finally, we present Multi-LZerD, which can predict the structure of multiple-docking proteins by combining pairwise docking prediction computed by LZerD.

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