Improving the accuracy of an affinity prediction method by using statistics on shape complementarity between proteins

Journal of Chemical Information and Modeling

Volumn 49, Issue 3, 2009, Pages 693-703

  Yoshikawa, Tatsuya ^a,b   Tsukamoto, Koki ^a   Hourai, Yuichiro ^a   Fukui, Kazuhiko ^a  

^a NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY AIST   (Japan)

^b OSAKA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING;

AREA UNDER THE CURVES; CLUSTERING METHODS; EVALUATION AND PREDICTIONS; PREDICTION ACCURACY; PREDICTION METHODS; PROTEIN-PROTEIN INTERACTIONS; RECEIVER OPERATING CHARACTERISTIC ANALYSIS; SHAPE COMPLEMENTARITY;

PROTEINS;

PROTEIN;

ARTICLE; CHEMISTRY; ENZYME ACTIVE SITE; PROTEIN CONFORMATION; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

CATALYTIC DOMAIN; PROTEIN CONFORMATION; PROTEINS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 65249135571     PISSN: 15499596     EISSN: 1549960X     Source Type: Journal    
DOI: 10.1021/ci800310f     Document Type: Article

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