Literature DB >> 15036161

From large networks to small molecules.

Jeffrey R Sharom1, David S Bellows, Mike Tyers.   

Abstract

Large-scale analysis of genetic and physical interaction networks has begun to reveal the global organization of the cell. Cellular phenotypes observed at the macroscopic level depend on the collective characteristics of protein and genetic interaction networks, which exhibit scale-free properties and are highly resistant to perturbation of a single node. The nascent field of chemical genetics promises a host of small-molecule probes to explore these emerging networks. Although the robust nature of cellular networks usually resists the action of single agents, they may be susceptible to rationally designed combinations of small molecules able to collectively shift network behavior.

Mesh:

Year:  2004        PMID: 15036161     DOI: 10.1016/j.cbpa.2003.12.007

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  29 in total

1.  Global mapping of gene/protein interactions in PubMed abstracts: a framework and an experiment with P53 interactions.

Authors:  Xin Li; Hsinchun Chen; Zan Huang; Hua Su; Jesse D Martinez
Journal:  J Biomed Inform       Date:  2007-01-17       Impact factor: 6.317

Review 2.  In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling.

Authors:  S Ekins; J Mestres; B Testa
Journal:  Br J Pharmacol       Date:  2007-06-04       Impact factor: 8.739

3.  The chemical genomic portrait of yeast: uncovering a phenotype for all genes.

Authors:  Maureen E Hillenmeyer; Eula Fung; Jan Wildenhain; Sarah E Pierce; Shawn Hoon; William Lee; Michael Proctor; Robert P St Onge; Mike Tyers; Daphne Koller; Russ B Altman; Ronald W Davis; Corey Nislow; Guri Giaever
Journal:  Science       Date:  2008-04-18       Impact factor: 47.728

Review 4.  Adding more content to screening: reactivation of FOXO as a therapeutic strategy.

Authors:  Fabian Zanella; Amancio Carnero
Journal:  Clin Transl Oncol       Date:  2009-10       Impact factor: 3.405

5.  Combinations of antibiotics and nonantibiotic drugs enhance antimicrobial efficacy.

Authors:  Linda Ejim; Maya A Farha; Shannon B Falconer; Jan Wildenhain; Brian K Coombes; Mike Tyers; Eric D Brown; Gerard D Wright
Journal:  Nat Chem Biol       Date:  2011-04-24       Impact factor: 15.040

Review 6.  Combinatorial strategies for combating invasive fungal infections.

Authors:  Michaela Spitzer; Nicole Robbins; Gerard D Wright
Journal:  Virulence       Date:  2016-06-07       Impact factor: 5.882

7.  Rapid conversion of Pseudomonas aeruginosa to a spherical cell morphotype facilitates tolerance to carbapenems and penicillins but increases susceptibility to antimicrobial peptides.

Authors:  Leigh G Monahan; Lynne Turnbull; Sarah R Osvath; Debra Birch; Ian G Charles; Cynthia B Whitchurch
Journal:  Antimicrob Agents Chemother       Date:  2014-01-13       Impact factor: 5.191

Review 8.  Combination chemical genetics.

Authors:  Joseph Lehár; Brent R Stockwell; Guri Giaever; Corey Nislow
Journal:  Nat Chem Biol       Date:  2008-11       Impact factor: 15.040

9.  Synthetic lethality: a framework for the development of wiser cancer therapeutics.

Authors:  William G Kaelin
Journal:  Genome Med       Date:  2009-10-27       Impact factor: 11.117

10.  Synergistic drug combinations tend to improve therapeutically relevant selectivity.

Authors:  Joseph Lehár; Andrew S Krueger; William Avery; Adrian M Heilbut; Lisa M Johansen; E Roydon Price; Richard J Rickles; Glenn F Short; Jane E Staunton; Xiaowei Jin; Margaret S Lee; Grant R Zimmermann; Alexis A Borisy
Journal:  Nat Biotechnol       Date:  2009-07-05       Impact factor: 54.908

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