New Methods to Improve Protein Structure Prediction and Refinement
โ Scribed by Kloczkowski, Andrzej; Gniewek, Pawel; Faraggi, Eshel; Zimmermann, Michael; Gront, Dominik; Pawlowski, Marcin; Jernigan, Robert L.; Kolinski, Andrzej
- Book ID
- 122107522
- Publisher
- Biophysical Society
- Year
- 2013
- Tongue
- English
- Weight
- 36 KB
- Volume
- 104
- Category
- Article
- ISSN
- 0006-3495
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๐ SIMILAR VOLUMES
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
## 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