Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy terms

PLoS ONE

Volumn 9, Issue 9, 2014, Pages

  Manavalan, Balachandran ^a   Lee, Juyong ^a   Lee, Jooyoung ^a  

^a Korea Institute for Advanced Study   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; AMINO TERMINAL SEQUENCE; ARTICLE; CALCULATION; CARBOXY TERMINAL SEQUENCE; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; PREDICTION; PROTEIN SECONDARY STRUCTURE; PROTEIN TARGETING; QUALITY CONTROL; RANDOM FOREST BASED MODEL QUALITY ASSESSMENT METHOD; SCORING SYSTEM; STATISTICAL ANALYSIS; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; PROCEDURES; PROTEIN TERTIARY STRUCTURE; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

CASPASE 8; CASPASE 9;

CASPASE 8; CASPASE 9; COMPUTATIONAL BIOLOGY; IMAGING, THREE-DIMENSIONAL; MODELS, MOLECULAR; PROTEIN STRUCTURE, TERTIARY; QUALITY CONTROL;

EID: 84907271392     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0106542     Document Type: Article

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