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Protein structure prediction

โœ Scribed by Bissan Al-Lazikani; Joon Jung; Zhexin Xiang; Barry Honig


Book ID
104414492
Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
64 KB
Volume
5
Category
Article
ISSN
1367-5931

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โœฆ Synopsis


The prediction of protein structure, based primarily on sequence and structure homology, has become an increasingly important activity. Homology models have become more accurate and their range of applicability has increased. Progress has come, in part, from the flood of sequence and structure information that has appeared over the past few years, and also from improvements in analysis tools. These include profile methods for sequence searches, the use of three-dimensional structure information in sequence alignment and new homology modeling tools, specifically in the prediction of loop and side-chain conformations. There have also been important advances in understanding the physical chemical basis of protein stability and the corresponding use of physical chemical potential functions to identify correctly folded from incorrectly folded protein conformations.


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## Abstract This review presents the advances in protein structure prediction from the computational methods perspective. The approaches are classified into four major categories: comparative modeling, fold recognition, first principles methods that employ database information, and first principles