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

By Zhang Jian   Zhao Xiaowei   Sun Pingping   Ma Zhiqiang  

International Journal of Molecular Sciences, Vol. 15, Iss. 7, 2014-06 ,pp. : 11204-11219

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Prediction of Protein S-Nitrosylation Sites Based on Adapted Normal Distribution Bi-Profile Bayes and Chou’s Pseudo Amino Acid Composition

By Jia Cangzhi   Lin Xin   Wang Zhiping  

International Journal of Molecular Sciences, Vol. 15, Iss. 6, 2014-06 ,pp. : 10410-10423

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iHyd-PseAAC: Predicting Hydroxyproline and Hydroxylysine in Proteins by Incorporating Dipeptide Position-Specific Propensity into Pseudo Amino Acid Composition

By Xu Yan   Wen Xin   Shao Xiao-Jian   Deng Nai-Yang   Chou Kuo-Chen  

International Journal of Molecular Sciences, Vol. 15, Iss. 5, 2014-05 ,pp. : 7594-7610

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iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components

By Qiu Wang-Ren   Xiao Xuan   Chou Kuo-Chen  

International Journal of Molecular Sciences, Vol. 15, Iss. 2, 2014-01 ,pp. : 1746-1766

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Amino Acid Composition, Molecular Weight Distribution and Gel Electrophoresis of Walnut (Juglans regia L.) Proteins and Protein Fractionations

By Mao Xiaoying   Hua Yufei   Chen Guogang  

International Journal of Molecular Sciences, Vol. 15, Iss. 2, 2014-01 ,pp. : 2003-2014

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