Literature DB >> 12792670

Chemogenomics knowledge-based strategies in drug discovery.

Edgar Jacoby1, Ansgar Schuffenhauer, Philipp Floersheim.   

Abstract

In the postgenomic age of drug discovery, targets can no longer be viewed as singular objects having no relationship to one another. All targets are now visible and the systematic exploration of selected target families appears to be a promising way to speed up and further industrialize target-based drug discovery. Chemogenomics refers to such systematic exploration of target families and aims to identify all possible ligands of all target families. Because biology works by applying prior knowledge to an unknown entity, chemogenomics approaches are expected to be especially effective within the previously well-explored target families, for which, in addition to the protein sequence and structure information, considerable knowledge of pharmacologically active structural classes and structure-activity relationships exists. For the new target families, chemical knowledge will have to be generated and beyond biological target validation, the emphasis is on chemistry to provide the molecules with which their novel biology and pharmacology can be studied. Using examples from the previously most successfully explored target families, the GPCR family in particular, we summarize herein our current chemogenomics knowledge-based strategies for drug discovery, which are founded on the high integration of chem and bioinformatics, thereby providing a molecular informatics frame for the exploration of the new target families. (c) 2003 Prous Science. All rights reserved.

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Year:  2003        PMID: 12792670     DOI: 10.1358/dnp.2003.16.2.829326

Source DB:  PubMed          Journal:  Drug News Perspect        ISSN: 0214-0934


  5 in total

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Authors:  Marcus A Koch; Lars-Oliver Wittenberg; Sudipta Basu; Duraiswamy A Jeyaraj; Eleni Gourzoulidou; Kerstin Reinecke; Alex Odermatt; Herbert Waldmann
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-17       Impact factor: 11.205

2.  A lead discovery strategy driven by a comprehensive analysis of proteases in the peptide substrate space.

Authors:  Sai Chetan K Sukuru; Florian Nigsch; Jean Quancard; Martin Renatus; Rajiv Chopra; Natasja Brooijmans; Dmitri Mikhailov; Zhan Deng; Allen Cornett; Jeremy L Jenkins; Ulrich Hommel; John W Davies; Meir Glick
Journal:  Protein Sci       Date:  2010-11       Impact factor: 6.725

Review 3.  The protein meta-structure: a novel concept for chemical and molecular biology.

Authors:  Robert Konrat
Journal:  Cell Mol Life Sci       Date:  2009-08-19       Impact factor: 9.261

4.  Prediction and evaluation of protein farnesyltransferase inhibition by commercial drugs.

Authors:  Amanda J DeGraw; Michael J Keiser; Joshua D Ochocki; Brian K Shoichet; Mark D Distefano
Journal:  J Med Chem       Date:  2010-03-25       Impact factor: 7.446

5.  A systematic prediction of multiple drug-target interactions from chemical, genomic, and pharmacological data.

Authors:  Hua Yu; Jianxin Chen; Xue Xu; Yan Li; Huihui Zhao; Yupeng Fang; Xiuxiu Li; Wei Zhou; Wei Wang; Yonghua Wang
Journal:  PLoS One       Date:  2012-05-30       Impact factor: 3.240

  5 in total

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