Prediction of the secondary structure content of globular proteins based on structural classes
β Scribed by Chun-Ting Zhang; Ziding Zhang; Zhimin He
- Publisher
- Springer
- Year
- 1996
- Tongue
- English
- Weight
- 888 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1573-4943
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## 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
This study deals with structure class/secondary structure prediction of proteins using hidden Markov models (HMMs). With the proposed method, prediction is performed using HMMs designed so as to represent hierarchicality and periodicity of protein structural features. Secondary structures (partial t