Literature DB >> 12546900

Rational drug discovery: what can we learn from regulatory networks?

Sui Huang1.   

Abstract

To enable the list of genes and proteins contained within genomic databases to be useful for drug discovery, we need to understand how the genome maps into the phenome. An essential, but not explicitly listed ingredient of the genome is the regulatory interactions between genes and proteins that form a genome-wide network. How can the concept of regulatory networks increase our understanding of living systems? Networks are more than just static "wiring diagrams". Gene interactions impose dynamic constraints, which, although obvious in emergent phenotypic properties, are not captured by traditional one gene-one trait approaches. Understanding the nature of these constraints in gene-activation state space will pave the way to a holistic yet formal and genomics-based approach to rational drug development.

Mesh:

Year:  2002        PMID: 12546900     DOI: 10.1016/s1359-6446(02)02463-7

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  12 in total

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Journal:  Drug Dev Res       Date:  2011-03-01       Impact factor: 4.360

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Review 4.  Dual- and triple-acting agents for treating core and co-morbid symptoms of major depression: novel concepts, new drugs.

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Journal:  Neurotherapeutics       Date:  2009-01       Impact factor: 7.620

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8.  Dynamical modeling of drug effect using hybrid systems.

Authors:  Xiangfang Li; Lijun Qian; Edward R Dougherty
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-12-26

9.  An innovative strategy for dual inhibitor design and its application in dual inhibition of human thymidylate synthase and dihydrofolate reductase enzymes.

Authors:  Mahreen Arooj; Sugunadevi Sakkiah; Guang ping Cao; Keun Woo Lee
Journal:  PLoS One       Date:  2013-04-05       Impact factor: 3.240

10.  Simultaneous targeting of MyD88 and Nur77 as an effective approach for the treatment of inflammatory diseases.

Authors:  Saqib Uzma; Mirza S Baig
Journal:  Drug Des Devel Ther       Date:  2016-05-04       Impact factor: 4.162

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