High-accuracy prediction of protein structural classes using PseAA structural properties and secondary structural patterns
โ Scribed by Wang, Junru; Li, Yan; Liu, Xiaoqing; Dai, Qi; Yao, Yuhua; He, Pingan
- Book ID
- 122281227
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 566 KB
- Volume
- 101
- Category
- Article
- ISSN
- 0300-9084
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## Abstract Protein structural class prediction solely from protein sequences is a challenging problem in bioinformatics. Numerous efficient methods have been proposed for protein structural class prediction, but challenges remain. Using novel combined sequence information coupled with predicted se
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