Literature DB >> 12581711

Fulfilling the promise: drug discovery in the post-genomic era.

Sumit K Chanda1, Jeremy S Caldwell.   

Abstract

The genomic era has brought with it a basic change in experimentation, enabling researchers to look more comprehensively at biological systems. The sequencing of the human genome coupled with advances in automation and parallelization technologies have afforded a fundamental transformation in the drug target discovery paradigm, towards systematic whole genome and proteome analyses. In conjunction with novel proteomic techniques, genome-wide annotation of function in cellular models is possible. Overlaying data derived from whole genome sequence, expression and functional analysis will facilitate the identification of causal genes in disease and significantly streamline the target validation process. Moreover, several parallel technological advances in small molecule screening have resulted in the development of expeditious and powerful platforms for elucidating inhibitors of protein or pathway function. Conversely, high-throughput and automated systems are currently being used to identify targets of orphan small molecules. The consolidation of these emerging functional genomics and drug discovery technologies promises to reap the fruits of the genomic revolution.

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Year:  2003        PMID: 12581711     DOI: 10.1016/s1359-6446(02)02595-3

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


  19 in total

1.  PANDORA: keyword-based analysis of protein sets by integration of annotation sources.

Authors:  Noam Kaplan; Avishay Vaaknin; Michal Linial
Journal:  Nucleic Acids Res       Date:  2003-10-01       Impact factor: 16.971

2.  Surfection: a new platform for transfected cell arrays.

Authors:  Fu-Hsiung Chang; Chien-Hsin Lee; Ming-Ta Chen; Chun-Chen Kuo; Yi-Lin Chiang; Chi-Ying Hang; Steve Roffler
Journal:  Nucleic Acids Res       Date:  2004-02-18       Impact factor: 16.971

Review 3.  Systems Pharmacology Links GPCRs with Retinal Degenerative Disorders.

Authors:  Yu Chen; Krzysztof Palczewski
Journal:  Annu Rev Pharmacol Toxicol       Date:  2015-03-23       Impact factor: 13.820

4.  Chemical modulation of receptor signaling inhibits regenerative angiogenesis in adult zebrafish.

Authors:  Peter E Bayliss; Kimberly L Bellavance; Geoffrey G Whitehead; Joshua M Abrams; Sandrine Aegerter; Heather S Robbins; Douglas B Cowan; Mark T Keating; Terence O'Reilly; Jeanette M Wood; Thomas M Roberts; Joanne Chan
Journal:  Nat Chem Biol       Date:  2006-03-26       Impact factor: 15.040

5.  Design and synthesis of biologically active peptides: a 'tail' of amino acids can modulate activity of synthetic cyclic peptides.

Authors:  Alberto Bryan; Leroy Joseph; James A Bennett; Herbert I Jacobson; Thomas T Andersen
Journal:  Peptides       Date:  2011-10-12       Impact factor: 3.750

6.  iCAVE: an open source tool for visualizing biomolecular networks in 3D, stereoscopic 3D and immersive 3D.

Authors:  Vaja Liluashvili; Selim Kalayci; Eugene Fluder; Manda Wilson; Aaron Gabow; Zeynep H Gümüs
Journal:  Gigascience       Date:  2017-08-01       Impact factor: 6.524

7.  INTEGRATING COMPUTATIONAL PROTEIN FUNCTION PREDICTION INTO DRUG DISCOVERY INITIATIVES.

Authors:  Marianne A Grant
Journal:  Drug Dev Res       Date:  2011-02       Impact factor: 4.360

8.  Activity of novel inhibitors of Staphylococcus aureus biofilms.

Authors:  Seung-Gyun Woo; So-Yeon Lee; So-Min Lee; Kyoung-Hee Lim; Eun-Ju Ha; Yong-Bin Eom
Journal:  Folia Microbiol (Praha)       Date:  2016-11-18       Impact factor: 2.099

9.  In silico activity profiling reveals the mechanism of action of antimalarials discovered in a high-throughput screen.

Authors:  David Plouffe; Achim Brinker; Case McNamara; Kerstin Henson; Nobutaka Kato; Kelli Kuhen; Advait Nagle; Francisco Adrián; Jason T Matzen; Paul Anderson; Tae-Gyu Nam; Nathanael S Gray; Arnab Chatterjee; Jeff Janes; S Frank Yan; Richard Trager; Jeremy S Caldwell; Peter G Schultz; Yingyao Zhou; Elizabeth A Winzeler
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-25       Impact factor: 11.205

10.  High-content phenotypic screenings to identify inhibitors of Candida albicans biofilm formation and filamentation.

Authors:  Christopher G Pierce; Stephen P Saville; Jose L Lopez-Ribot
Journal:  Pathog Dis       Date:  2014-03-11       Impact factor: 3.166

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