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Predicting beta-turns in proteins using support vector machines with fractional polynomials

โœ Scribed by Murtada Khalafallah Elbashir,Jianxin Wang,Fang-Xiang Wu,Lusheng Wang


Book ID
126376184
Publisher
BioMed Central
Year
2013
Tongue
English
Weight
566 KB
Volume
11
Category
Article
ISSN
1477-5956

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## Abstract By using the composite vector with increment of diversity, position conservation scoring function, and predictive secondary structures to express the information of sequence, a support vector machine (SVM) algorithm for predicting ฮฒโ€ and ฮณโ€turns in the proteins is proposed. The 426 and