In Silico Approach for Predicting Toxicity of Peptides and Proteins

PLoS ONE

Volumn 8, Issue 9, 2013, Pages

  Gupta, Sudheer ^a   Kapoor, Pallavi ^a   Chaudhary, Kumardeep ^a   Gautam, Ankur ^a   Kumar, Rahul ^a   Raghava, Gajendra P S ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ANTICANCER PEPTIDE; ANTIVIRAL PEPTIDE; ASPARAGINE; CELL PENETRATING PEPTIDE; CYSTEINE; DIPEPTIDE; HISTIDINE; PEPTIDE; POLYPEPTIDE ANTIBIOTIC AGENT; PROLINE; PROTEIN; TUMOR HOMING PEPTIDE; UNCLASSIFIED DRUG;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; COMPUTER MODEL; COMPUTER PROGRAM; CORRELATION COEFFICIENT; MACHINE LEARNING; PREDICTION; PROTEIN DATABASE; PROTEIN MOTIF; QUANTITATIVE ANALYSIS; STATISTICAL MODEL; TOXICITY;

AMINO ACID MOTIFS; ANIMALS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATABASES, PROTEIN; HUMANS; INTERNET; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PEPTIDES; SENSITIVITY AND SPECIFICITY; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 84884141339     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0073957     Document Type: Article

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