Genome sequencing projects continue to provide a flood of new protein sequences, and prediction methods remain an important means of adding structural information. Recently, there have been advances in secondary structure prediction, which feed, in turn, into improved fold recognition algorithms. Fi
Protein structure prediction
โ 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
No coin nor oath required. For personal study only.
โฆ 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.
๐ SIMILAR VOLUMES
## 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