SCOPUS 정보 검색 플랫폼

Molecular Informatics

Volumn 33, Issue 10, 2014, Pages 669-681

Computational Prediction of Drug¯Target Interactions Using Chemical, Biological, and Network Features

(7) Cao, Dong Sheng a Zhang, Liu Xia b Tan, Gui Shan a Xiang, Zheng c Zeng, Wen Bin a Xu, Qing Song a Chen, Alex F a

a CENTRAL SOUTH UNIVERSITY (China)

b 163rd Hospital of the Chinese People's Liberation Army (China)

c WENZHOU MEDICAL UNIVERSITY (China)

Author keywords

Drug repositioning; Drug target interactions (DTIs); Interaction profiles; Network property; Polypharmcology profiling; Random forest (RF)

Indexed keywords

DRUG INTERACTIONS; NETWORK TOPOLOGY; PROTEINS; TENSORS;

DRUG REPOSITIONING; DRUG-TARGET INTERACTIONS; DRUG¯TARGET INTERACTION; INTERACTION NETWORKS; INTERACTION PREDICTION; INTERACTION PROFILES; NETWORK PROPERTIES; POLYPHARMCOLOGY PROFILING; RANDOM FOREST; RANDOM FORESTS;

FORECASTING;

ADRENERGIC RECEPTOR; CELL NUCLEUS RECEPTOR; ENZYME; G PROTEIN COUPLED RECEPTOR; HISTAMINE RECEPTOR; ION CHANNEL; PROFENAMINE;

ACCURACY; ARTICLE; BINDING ASSAY; CHEMICAL ANALYSIS; DECISION TREE; DRUG INTERACTION; DRUG TARGET INTERACTION; HUMAN; LEARNING ALGORITHM; PREDICTION; PRIORITY JOURNAL; RANDOM FOREST; SENSITIVITY AND SPECIFICITY;

EID: 84957561485 PISSN: 18681743 EISSN: 18681751 Source Type: Journal
DOI: 10.1002/minf.201400009 Document Type: Article

Times cited : (84)

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