Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou's general PseAAC

Scientific Reports

Volumn 7, Issue , 2017, Pages

  Meher, Prabina Kumar ^a   Sahu, Tanmaya Kumar ^a   Saini, Varsha ^a,b   Rao, Atmakuri Ramakrishna ^a  

^a ICAR INDIAN AGRICULTURAL STATISTICS RESEARCH INSTITUTE   (India)

^b Janta Vedic College Baraut Bagpat   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIFUNGAL AGENT; ANTIMICROBIAL CATIONIC PEPTIDE; ANTIVIRUS AGENT;

AREA UNDER THE CURVE; CHEMICAL PHENOMENA; CHEMISTRY; PROTEIN DATABASE; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE;

ANTIFUNGAL AGENTS; ANTIMICROBIAL CATIONIC PEPTIDES; ANTIVIRAL AGENTS; AREA UNDER CURVE; CHEMICAL PHENOMENA; DATABASES, PROTEIN; ROC CURVE; SUPPORT VECTOR MACHINE;

EID: 85012302320     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep42362     Document Type: Article

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