A regression framework incorporating quantitative and negative interaction data improves quantitative prediction of PDZ domain-peptide interaction from primary sequence

Bioinformatics

Volumn 27, Issue 3, 2011, Pages 383-390

  Shao, Xiaojian ^a,b   Tan, Chris S H ^b   Voss, Courtney ^c   Li, Shawn S C ^c   Deng, Naiyang ^a   Bader, Gary D ^b  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b UNIVERSITY OF TORONTO   (Canada)

^c UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

LIGAND; PEPTIDE; PROTEIN;

ANIMAL; ARTICLE; BIOLOGY; CHEMICAL STRUCTURE; CHEMISTRY; GENETICS; METABOLISM; METHODOLOGY; MOUSE; MUTATION; PDZ DOMAIN; PROTEIN BINDING; PROTEIN TERTIARY STRUCTURE; REGRESSION ANALYSIS; REPRODUCIBILITY;

ANIMALS; COMPUTATIONAL BIOLOGY; LIGANDS; MICE; MODELS, MOLECULAR; MUTATION; PDZ DOMAINS; PEPTIDES; PROTEIN BINDING; PROTEIN STRUCTURE, TERTIARY; PROTEINS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS;

EID: 79551614773     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq657     Document Type: Article

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