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
Protein secondary and tertiary structure prediction: new methods and old problems
โ Scribed by FredE. Cohen; BruceI. Cohen; Nathalie Collach; ScottR. Presnell
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 264 KB
- Volume
- 8
- Category
- Article
- ISSN
- 0263-7855
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