iSNO-PseAAC: Predict Cysteine S-Nitrosylation Sites in Proteins by Incorporating Position Specific Amino Acid Propensity into Pseudo Amino Acid Composition

PLoS ONE

Volumn 8, Issue 2, 2013, Pages

  Xu, Yan ^a,c   Ding, Jun ^a   Wu, Ling Yun ^b   Chou, Kuo Chen ^c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b INSTITUTE OF APPLIED MATHEMATICS   (China)

^c GORDON LIFE SCIENCE INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; AMINO ACID ANALYSIS; AMINO ACID COMPOSITION; ARTICLE; COMPUTER PREDICTION; CONTROLLED STUDY; DATA ANALYSIS; GENOMICS; HIGH THROUGHPUT SEQUENCING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NITROSYLATION; PREDICTIVE VALUE; PROTEIN PROCESSING; QUALITY CONTROL; SEQUENCE ANALYSIS; VALIDATION PROCESS;

ALGORITHMS; AMINO ACIDS; CYSTEINE; DATABASES, PROTEIN; INTERNET; PROTEIN PROCESSING, POST-TRANSLATIONAL; PROTEINS; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 84873575437     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0055844     Document Type: Article

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