Abstract #301632

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JSM 2002 Abstract #301632
Activity Number: 272
Type: Topic Contributed
Date/Time: Wednesday, August 14, 2002 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Computing*
Abstract - #301632
Title: Statistical and Computational Issues in Ab Initio Protein Structure Prediction
Author(s): Ingo Ruczinski*+ and David Baker
Affiliation(s): Johns Hopkins University and University of Washington
Address: 615 N Wolfe St - E3033, Baltimore, Maryland, 21205, USA
Keywords:
Abstract:

The prediction of protein tertiary structure solely from its amino acid sequence ("de novo'' or "ab initio'' protein structure prediction) is one of the most important unsolved problems in molecular biology. We recently developed the Rosetta algorithm for ab initio protein structure prediction which generates protein structures from fragment libraries using simulated annealing. We will describe the basics of the folding algorithm and discuss some of the statistical and computational issues related to ab initio structure prediction.

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