Literature DB >> 11849946

In vivo drug target discovery: identifying the best targets from the genome.

D W Walke1, C Han, J Shaw, E Wann, B Zambrowicz, A Sands.   

Abstract

A vast number of genes of unknown function threaten to clog drug discovery pipelines. To develop therapeutic products from novel genomic targets, it will be necessary to correlate biology with gene sequence information. Industrialized mouse reverse genetics is being used to determine gene function in the context of mammalian physiology and to identify the best targets for drug development.

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Year:  2001        PMID： 11849946     DOI： 10.1016/s0958-1669(01)00271-3

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN： 0958-1669            Impact factor:   9.740


  9 in total

1.  Rapid development of glomerular injury and renal failure in mice lacking p53R2.

Authors:  David R Powell; Urvi Desai; Mary Jean Sparks; Gwenn Hansen; Jason Gay; Jeff Schrick; Zheng-Zheng Shi; John Hicks; Peter Vogel
Journal:  Pediatr Nephrol       Date:  2005-01-26       Impact factor: 3.714

2.  Obesity of G2e3 Knockout Mice Suggests That Obesity-Associated Variants Near Human G2E3 Decrease G2E3 Activity.

Authors:  David R Powell; Deon D Doree; Christopher M DaCosta; Kenneth A Platt; Gwenn M Hansen; Isaac van Sligtenhorst; Zhi-Ming Ding; Jean-Pierre Revelli; Robert Brommage
Journal:  Diabetes Metab Syndr Obes       Date:  2020-07-27       Impact factor: 3.168

3.  Fathead minnow steroidogenesis: in silico analyses reveals tradeoffs between nominal target efficacy and robustness to cross-talk.

Authors:  Jason E Shoemaker; Kalyan Gayen; Natàlia Garcia-Reyero; Edward J Perkins; Daniel L Villeneuve; Li Liu; Francis J Doyle
Journal:  BMC Syst Biol       Date:  2010-06-28

4.  UniDrug-target: a computational tool to identify unique drug targets in pathogenic bacteria.

Authors:  Sree Krishna Chanumolu; Chittaranjan Rout; Rajinder S Chauhan
Journal:  PLoS One       Date:  2012-03-14       Impact factor: 3.240

5.  High-throughput screening of mouse gene knockouts identifies established and novel skeletal phenotypes.

Authors:  Robert Brommage; Jeff Liu; Gwenn M Hansen; Laura L Kirkpatrick; David G Potter; Arthur T Sands; Brian Zambrowicz; David R Powell; Peter Vogel
Journal:  Bone Res       Date:  2014-10-28       Impact factor: 13.567

6.  Mice Lacking Gpr75 are Hypophagic and Thin.

Authors:  David R Powell; Deon D Doree; Christopher M DaCosta; Kenneth A Platt; Robert Brommage; Lindsey Buhring; Jean-Pierre Revelli; Melanie K Shadoan
Journal:  Diabetes Metab Syndr Obes       Date:  2022-01-05       Impact factor: 3.168

7.  High-Throughput Screening of Mouse Gene Knockouts Identifies Established and Novel High Body Fat Phenotypes.

Authors:  David R Powell; Jean-Pierre Revelli; Deon D Doree; Christopher M DaCosta; Urvi Desai; Melanie K Shadoan; Lawrence Rodriguez; Michael Mullens; Qi M Yang; Zhi-Ming Ding; Laura L Kirkpatrick; Peter Vogel; Brian Zambrowicz; Arthur T Sands; Kenneth A Platt; Gwenn M Hansen; Robert Brommage
Journal:  Diabetes Metab Syndr Obes       Date:  2021-08-28       Impact factor: 3.168

8.  High-order combination effects and biological robustness.

Authors:  Joseph Lehár; Andrew Krueger; Grant Zimmermann; Alexis Borisy
Journal:  Mol Syst Biol       Date:  2008-08-05       Impact factor: 11.429

Review 9.  Comparative genetic analysis: the utility of mouse genetic systems for studying human monogenic disease.

Authors:  Peter L Oliver; Emmanuelle Bitoun; Kay E Davies
Journal:  Mamm Genome       Date:  2007-05-21       Impact factor: 2.957
  9 in total

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