In silico models for designing and discovering novel anticancer peptides

Scientific Reports

Volumn 3, Issue , 2013, Pages

  Tyagi, Atul ^a   Kapoor, Pallavi ^a   Kumar, Rahul ^a   Chaudhary, Kumardeep ^a   Gautam, Ankur ^a   Raghava, G P S ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIMICROBIAL CATIONIC PEPTIDE; ANTINEOPLASTIC AGENT; PEPTIDE;

ARTICLE; CHEMISTRY; COMPUTER SIMULATION; DRUG DESIGN; FACTUAL DATABASE; HUMAN; POSITION WEIGHT MATRIX; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SEQUENCE ANALYSIS; SUPPORT VECTOR MACHINE; WEB BROWSER;

ANTIMICROBIAL CATIONIC PEPTIDES; ANTINEOPLASTIC AGENTS; COMPUTER SIMULATION; DATABASES, FACTUAL; DRUG DESIGN; HUMANS; PEPTIDES; POSITION-SPECIFIC SCORING MATRICES; REPRODUCIBILITY OF RESULTS; ROC CURVE; SEQUENCE ANALYSIS, PROTEIN; SUPPORT VECTOR MACHINES; WEB BROWSER;

EID: 84886312536     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep02984     Document Type: Article

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