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.
Telluride Intermediate School
725 W. Colorado
Telluride CO 81435
Participant | Organization | ||||
Barrick, Douglas | Johns Hopkins University | ||||
Chen, Shi-Jie | University of Missouri-Columbia | ||||
Duan, Yong | UC Davis | ||||
Elber, Ron [2nd Reservation] | University of Texas at Austin | ||||
Grishin, Nick | UT Southwestern | ||||
Jernigan, Robert | Iowa State University | ||||
Kihara, Daisuke | Purdue University | ||||
Kozakov, Dima | Boston University | ||||
Liang, Jie | University of Illinois at Chicago | ||||
Markwick, Phineus | University of California San Diego | ||||
Orban, John | University of Maryland | ||||
Pierce, Levi | UCSD | ||||
Roy, Ambrish | CCMB | ||||
Vakser, Ilya | University of Kansas | ||||
Zhou, Yaoqi | IU School of Informatics | ||||
Zou, Xiaoqin | University of Missouri-Columbia | ||||