BibTeX
@MISC{Xu02traditionaldrug,
author = {Jun Xu and Arnold Hagler},
title = {Traditional Drug Discovery Process.},
year = {2002}
}
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Abstract
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.
Keyphrases
traditional drug discovery process virtual high throughput screening compound selection future direction structural similarity matrix main data mining approach virtual library generation current achievement descriptor computation hts data mining modern drug discovery silico admet drug discovery classification algorithm
