## Abstract The neural network method was applied to the prediction of the content of protein secondary structure elements, including Ξ±βhelix, Ξ²βstrand, Ξ²βbridge, 3~10~βhelix, Οβhelix, Hβbonded turn, bend, and random coil. The βpairβcoupled amino acid compositionβ originally proposed by K. C. Chou
Application of expert networks for predicting proteins secondary structure
β Scribed by Sarit Sivan; Orna Filo; Hava Siegelmann
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 252 KB
- Volume
- 24
- Category
- Article
- ISSN
- 1389-0344
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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
A novel computerized program has been developed for predicting the secondary structure of proteins from their amino acid sequences. The scheme of the Chou and Fasman method (1978, Adv. Enzymol. Relat. Subj. Biochem. 47,45-148) is closely followed. Some of their qualitative rules have been converted