ViralPhos: Incorporating a recursively statistical method to predict phosphorylation sites on virus proteins

BMC Bioinformatics

Volumn 14, Issue SUPPL16, 2013, Pages

  Huang, Kai Yao ^a   Lu, Cheng Tsung ^a   Bretaña, Neil A ^a   Lee, Tzong Yi ^a   Chang, Tzu Hao ^b  

^a YUAN ZE UNIVERSITY   (Taiwan)

^b TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Protein phosphorylation; Substrate motif; Support vector machine; Virus

Indexed keywords

BIOINFORMATICS TOOLS; CROSS VALIDATION; PHOSPHORYLATION SITES; PREDICTIVE MODELING; PROTEIN PHOSPHORYLATION; SUBSTRATE MOTIFS; SUPPORT VECTOR MACHINE (SVMS); VIRAL REPLICATION;

AMINO ACIDS; BIOINFORMATICS; ENZYMES; FORECASTING; PHOSPHORYLATION; PROTEINS; STATISTICAL METHODS; SUBSTRATES; SUPPORT VECTOR MACHINES; TOOLS;

VIRUSES;

PHOSPHOTRANSFERASE; VIRUS PROTEIN;

ARTICLE; BIOLOGY; CHEMISTRY; INTERNET; METHODOLOGY; PHOSPHORYLATION; PROTEIN DATABASE; PROTEIN TERTIARY STRUCTURE; REPRODUCIBILITY; STATISTICAL MODEL; SUPPORT VECTOR MACHINE;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; INTERNET; MODELS, STATISTICAL; PHOSPHORYLATION; PHOSPHOTRANSFERASES; PROTEIN STRUCTURE, TERTIARY; REPRODUCIBILITY OF RESULTS; SUPPORT VECTOR MACHINES; VIRAL PROTEINS;

EID: 84886789765     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-S16-S10     Document Type: Article

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