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 Barton, Geoffrey J.; Russell, Robert B.
- Book ID
- 109783192
- Publisher
- Nature Publishing Group
- Year
- 1993
- Tongue
- English
- Weight
- 259 KB
- Volume
- 361
- Category
- Article
- ISSN
- 0028-0836
- DOI
- 10.1038/361505b0
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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 infor
## 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