Mining Chemical Activity Status from High-Throughput Screening Assays

PLoS ONE

Volumn 10, Issue 12, 2015, Pages

  Soufan, Othman ^a   Ba Alawi, Wail ^a   Afeef, Moataz ^a   Essack, Magbubah ^a   Rodionov, Valentin ^a   Kalnis, Panos ^a   Bajic, Vladimir B ^a  

^a KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

CYCLIC NUCLEOTIDE GATED CHANNEL; FORASARTAN; G PROTEIN COUPLED RECEPTOR; TASOSARTAN; THYROTROPIN; THYROTROPIN RECEPTOR;

AREA UNDER THE CURVE; ARTICLE; CHEMICAL ACTIVITY STATUS; CHEMICAL DATABASE; CHEMICAL PARAMETERS; CLASSIFIER; COMPUTER MODEL; COMPUTER PROGRAM; CONTROLLED STUDY; DATA MINING; DRAMOTE; GRANULAR SUPPORT VECTOR MACHINE FOR UNDER SAMPLING; HIGH THROUGHPUT SCREENING; INTERMETHOD COMPARISON; MACHINE LEARNING; MAJORITY WEIGHTED MINORITY OVER SAMPLING TECHNIQUE; MEASUREMENT ACCURACY; MOLECULAR DOCKING; MOLECULAR INTERACTION; PREDICTIVE VALUE; PROBABILITY; RADIAL BASIS FUNCTION; RANDOM UNDER SAMPLING; RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; SYNTHETIC MINORITY OVERSAMPLING TECHNIQUE; THREE DIMENSIONAL IMAGING; DRUG EFFECTS; HUMAN; PROCEDURES;

DATABASES, CHEMICAL; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; RECEPTORS, THYROTROPIN;

EID: 84957109757     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0144426     Document Type: Article

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