Computational Method for Drug Target Search and Application in Drug Discovery

Ligand-protein inverse docking has recently been introduced as a computer method for identification of potential protein targets of a drug. A protein structure database is searched to find proteins to which a drug can bind or weakly bind. Examples of potential applications of this method in facilita...

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Main Authors: Chen, Yuzong, Li, Zerong, Ung, C.Y.
Format: Article
Language:en_US
Published: 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/3777
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author Chen, Yuzong
Li, Zerong
Ung, C.Y.
author_facet Chen, Yuzong
Li, Zerong
Ung, C.Y.
author_sort Chen, Yuzong
collection MIT
description Ligand-protein inverse docking has recently been introduced as a computer method for identification of potential protein targets of a drug. A protein structure database is searched to find proteins to which a drug can bind or weakly bind. Examples of potential applications of this method in facilitating drug discovery include: (1) identification of unknown and secondary therapeutic targets of a drug, (2) prediction of potential toxicity and side effect of an investigative drug, and (3) probing molecular mechanism of bioactive herbal compounds such as those extracted from plants used in traditional medicines. This method and recent results on its applications in solving various drug discovery problems are reviewed.
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spelling mit-1721.1/37772019-04-10T07:30:52Z Computational Method for Drug Target Search and Application in Drug Discovery Chen, Yuzong Li, Zerong Ung, C.Y. drug binding computer-aided drug design ligand-protein interactions molecular modeling adverse drug reactions therapeutic effects medicinal plant drug natural product Ligand-protein inverse docking has recently been introduced as a computer method for identification of potential protein targets of a drug. A protein structure database is searched to find proteins to which a drug can bind or weakly bind. Examples of potential applications of this method in facilitating drug discovery include: (1) identification of unknown and secondary therapeutic targets of a drug, (2) prediction of potential toxicity and side effect of an investigative drug, and (3) probing molecular mechanism of bioactive herbal compounds such as those extracted from plants used in traditional medicines. This method and recent results on its applications in solving various drug discovery problems are reviewed. Singapore-MIT Alliance (SMA) 2003-12-08T15:06:17Z 2003-12-08T15:06:17Z 2003-01 Article http://hdl.handle.net/1721.1/3777 en_US Molecular Engineering of Biological and Chemical Systems (MEBCS); 166675 bytes application/pdf application/pdf
spellingShingle drug binding
computer-aided drug design
ligand-protein interactions
molecular modeling
adverse drug reactions
therapeutic effects
medicinal plant drug
natural product
Chen, Yuzong
Li, Zerong
Ung, C.Y.
Computational Method for Drug Target Search and Application in Drug Discovery
title Computational Method for Drug Target Search and Application in Drug Discovery
title_full Computational Method for Drug Target Search and Application in Drug Discovery
title_fullStr Computational Method for Drug Target Search and Application in Drug Discovery
title_full_unstemmed Computational Method for Drug Target Search and Application in Drug Discovery
title_short Computational Method for Drug Target Search and Application in Drug Discovery
title_sort computational method for drug target search and application in drug discovery
topic drug binding
computer-aided drug design
ligand-protein interactions
molecular modeling
adverse drug reactions
therapeutic effects
medicinal plant drug
natural product
url http://hdl.handle.net/1721.1/3777
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AT lizerong computationalmethodfordrugtargetsearchandapplicationindrugdiscovery
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