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Chemoinformatics and Drug Discovery
AbstractThis article reviews current achievements in the field of chemoinformatics and their impact on modern drug discovery processes. The main data mining approaches used in cheminformatics, such as descriptor computations, structural similarity matrices, and classification algorithms, are outlined. The applications of cheminformatics in drug discovery, such as compound selection, virtual library generation, virtual high throughput screening, HTS data mining, and in silico ADMET are discussed. At the conclusion, future directions of chemoinformatics are suggested.
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Xu, J.; Hagler, A. Chemoinformatics and Drug Discovery. Molecules 2002, 7, 566-600.View more citation formats
Xu J, Hagler A. Chemoinformatics and Drug Discovery. Molecules. 2002; 7(8):566-600.Chicago/Turabian Style
Xu, Jun; Hagler, Arnold. 2002. "Chemoinformatics and Drug Discovery." Molecules 7, no. 8: 566-600.