Workshop Details
Method Development for Protein Structure Prediction and Design
06/15/2009 - 06/19/2009
Meeting Description:

In this post-genomic era, computational structure prediction is an extremely active field. It is also one of the sub-fields in computational biophysics with largest number of practitioners around the world. The ever-increasing sequence and structure databases demand a fast development of computational prediction algorithms. Although certain computational methods are commonly shared with other fields, there are methods unique to this field such as the ones for developing empirical potential functions, for identify remote sequence/structure homologues, for sequence-sequence and structure-sequence alignment, and for functional prediction. The purpose of this meeting is to bring together the key players around the world to discuss major issues in methodology development.

Meeting Venue:

Telluride Intermediate School
725 W. Colorado Telluride CO 81435

Method Development for Protein Structure Prediction and Design Registered Meeting Participants:
Participant Organization
Chen, Shi-Jie University of Missouri-Columbia
DeBartolo, Joseph University of Chicago
Dunbrack, Roland Fox Chase Cancer Center
Feig, Michael Michigan State University
He, Zhiquan University of Missouri Columbia
Horst, Jeremy University of Washington
Joo, Keehyoung Korea Institute for Advanced Study
Kihara, Daisuke Purdue University
Kloczkowski, Andrzej Iowa State University
Kozakov, Dima Boston University
Le, Ly University of Utah
Lee, In-Ho KIAS
Lee, Jinwoo Kwangwoon university
Lee, Jooyoung Korea Institute for Advanced Study
Lo, Cynthia Washington University in St. Louis
Ma, Jianpeng Baylor College of Medicine
Shell, M. Scott UC Santa Barbara
Sosnick, Tobin University of Chicago
Truong, Thanh University of Utah
Xu, Dong University of Missouri
Yang, Yuedong IUPUI
Zhang, Jingfen University Of Missouri Columbia
Zou, Xiaoqin University of Missouri-Columbia

Telluride Science Research Center
Post Office Box 2429, Telluride CO 81435
Tel: + 970.708.4426
Email: info@telluridescience.org
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