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Molecules 2002, 7(8), 566-600; doi:10.3390/70800566
Review

Chemoinformatics and Drug Discovery

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Received: 21 June 2002; in revised form: 14 August 2002 / Accepted: 18 August 2002 / Published: 30 August 2002
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Abstract: This 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.
Keywords: Cheminformatics; drug discovery; HTS; virtual screening; ADMET Cheminformatics; drug discovery; HTS; virtual screening; ADMET
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Xu, J.; Hagler, A. Chemoinformatics and Drug Discovery. Molecules 2002, 7, 566-600.

AMA Style

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.



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