A primary and a secondary neural network are applied to secondary structure and structural class prediction for a database of 681 non-homologous protein chains. A new method of decoding the outputs of the secondary structure prediction network is used to produce an estimate of the probability of fin
Computational methods in protein structure prediction
โ Scribed by C.A. Floudas
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 210 KB
- Volume
- 97
- Category
- Article
- ISSN
- 0006-3592
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โฆ Synopsis
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 methods without database information. Important advances along with current limitations and challenges are presented. Biotechnol. Bioeng. 2007;97: 207โ213. ยฉ 2007 Wiley Periodicals, Inc.
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