[Colloquium] Colloquium Talk Reminder! Speaker: Prof. Daisuke Kihara (Purdue)

[Dawn Ellis]

When:     Monday, May 20th at 10:30a-12:00p

Where:    Computational Institute, 5735 S. Ellis Ave. Room 240A

Who:       Prof. Daisuke Kihara, Purdue University

Title:        Predictions of Structures of Protein Interactions

Abstract:

Protein-protein binding events mediate many important biological functions
in a cell. To provide molecular view of interacting proteins, our group has
been developing a series of methods for predicting protein docking
interfaces as well as the three dimensional structure of protein docking
complexes. In this presentation, first we will introduce a protein docking
algorithm, LZerD. LZerD uses the 3D Zernike descriptor, a rotational
invariant mathematical representation of protein surfaces, to detect shape
complementarity of interaction sites. Then, I will introduce our methods
for predicting docking interface regions in protein surfaces, which detects
binding site specific mutation patterns (BindML). As a subsequent work, we
have developed a protein docking algorithm, which uses imperfect predicted
protein-protein docking interface information (PI_LZerD). Finally, we
present Multi-LZerD, which can predict the structure of multiple docking
proteins by combining pairwise docking prediction computed by LZerD and the
EM-LZerD method that fit multiple component structures into a
low-resolution electron microscopy maps.



References

Multi-LZerD: Multiple protein docking for asymmetric complexes. J.
Esquivel-Rodriguez, Y.D. Yang, & D. Kihara Proteins: Structure, Function,
and Bioinformatics, in press (2012)

*Fitting multimeric protein complexes into electron microscopy maps using
3D Zernike descriptors**.** *J. Esquivel-Rodriguez, & D. Kihara* **Journal
of **Physical Chemistry B*, in press (2012)**

Protein docking prediction using predicted protein-protein interface. B. Li
& D. Kihara, *BMC Bioinformatics*, 13: 7 (2012)

A novel method for protein-protein interaction site prediction using
phylogenetic substitution models. D. La & D. Kihara *Proteins*: *Structure,
Function, and Bioinformatics,* 80: 126-141 (2012)

Protein-protein docking using region-based 3D Zernike descriptors. V.
Venkatraman, Y.D. Yang, L. Sael & D. Kihara *BMC Bioinformatics*, 10: 407.
(2009)

Daisuke Kihara

Department of Biological Sciences/Computer Science

Purdue University, West Lafayette, IN, USA

http://kiharalab.org, dkihara at purdue.edu

--
*Dawn Ellis*
Administrative Assistant
773-834-1757
dellis at ttic.edu

TTIC
6045 S. Kenwood Ave.
Chicago, IL. 60637
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