PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC

PSNO: Predicting Cysteine S-Nitrosylation Sites by Incorporating Various Sequence-Derived Features into the General Form of Chou’s PseAAC

S-nitrosylation (SNO) is one of the most universal reversible post-translational modifications involved in many biological processes. Malfunction or dysregulation of SNO leads to a series of severe diseases, such as developmental abnormalities and various diseases. Therefore, the identification of S...

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Bibliographic Details
Main Authors: Jian Zhang, Xiaowei Zhao, Pingping Sun, Zhiqiang Ma
Format: Article
Language:English
Published: MDPI AG 2014-06-01
Series:International Journal of Molecular Sciences
Subjects:
cysteine S-nitrosylation sites
relative entropy selection
incremental feature selection
k-nearest neighbor
Online Access:http://www.mdpi.com/1422-0067/15/7/11204

Internet

http://www.mdpi.com/1422-0067/15/7/11204

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