Using support vector machines to identify protein phosphorylation sites in viruses

Journal of Molecular Graphics and Modelling

Volumn 56, Issue , 2015, Pages 84-90

  Huang, Shu Yun ^a   Shi, Shao Ping ^b   Qiu, Jian Ding ^a,b   Liu, Ming Chu ^a  

^a Pingxiang University   (China)

^b NANCHANG UNIVERSITY   (China)

Author keywords

Encoding scheme based on attribute grouping; Phosphorylation site; Position weight amino acid composition; Support vector machine; Virus proteins

Indexed keywords

AMINO ACIDS; ENCODING (SYMBOLS); PROTEINS; SUPPORT VECTOR MACHINES; VIRUSES;

10-FOLD CROSS-VALIDATION; AMINO ACID COMPOSITIONS; ENCODING SCHEMES; PHOSPHORYLATION SITES; PHYSICOCHEMICAL PROPERTY; PROTEIN PHOSPHORYLATION; SEQUENCE INFORMATIONS; VIRUS PROTEINS;

PHOSPHORYLATION;

PHOSPHOSERINE; PHOSPHOTHREONINE; PHOSPHOTYROSINE; SERINE; THREONINE; TYROSINE; VIRUS PROTEIN; PHOSPHOPROTEIN;

AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; AREA UNDER THE CURVE; ARTICLE; HYDROPHOBICITY; NONHUMAN; PHYSICAL CHEMISTRY; PROTEIN ANALYSIS; PROTEIN LOCALIZATION; PROTEIN PHOSPHORYLATION; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; CHEMISTRY; METABOLISM; MOLECULAR GENETICS; PHOSPHORYLATION; PROTEIN DATABASE; PROTEIN TERTIARY STRUCTURE;

AMINO ACID SEQUENCE; DATABASES, PROTEIN; MOLECULAR SEQUENCE DATA; PHOSPHOPROTEINS; PHOSPHORYLATION; PROTEIN STRUCTURE, TERTIARY; SERINE; SUPPORT VECTOR MACHINES; THREONINE; TYROSINE; VIRAL PROTEINS;

EID: 84920265432     PISSN: 10933263     EISSN: 18734243     Source Type: Journal    
DOI: 10.1016/j.jmgm.2014.12.005     Document Type: Article

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