Literature DB >> 20797614

Chemical probes of Escherichia coli uncovered through chemical-chemical interaction profiling with compounds of known biological activity.

Maya A Farha1, Eric D Brown.   

Abstract

While cell-based screens have considerable power in identifying new chemical probes of biological systems and leads for new drugs, a major challenge to the utility of such compounds is in connecting phenotype with a cellular target. Here, we present a systematic study to elucidate the mechanism of action of uncharacterized inhibitors of the growth of Escherichia coli through careful analyses of interactions with compounds of known biological activity. We studied growth inhibition with a collection of 200 antibacterial compounds when systematically combined with a panel of 14 known antibiotics of diverse mechanism and chemical class. Our work revealed a high frequency of synergistic chemical-chemical interactions where the interaction profiles were unique to the various compound pairs. Thus, the work revealed that chemical-chemical interaction data provides a fingerprint of biological activity and testable hypotheses regarding the mechanism of action of the novel bioactive molecules. In the study reported here, we determined the mode of action of an inhibitor of folate biosynthesis and a DNA gyrase inhibitor. Moreover, we identified eight membrane-active compounds, found to be promiscuously synergistic with known bioactives. Copyright (c) 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20797614     DOI: 10.1016/j.chembiol.2010.06.008

Source DB:  PubMed          Journal:  Chem Biol        ISSN: 1074-5521


  23 in total

Review 1.  Bugs, drugs and chemical genomics.

Authors:  Terry Roemer; Julian Davies; Guri Giaever; Corey Nislow
Journal:  Nat Chem Biol       Date:  2011-12-15       Impact factor: 15.040

Review 2.  Antibiotics as probes of biological complexity.

Authors:  Shannon B Falconer; Tomasz L Czarny; Eric D Brown
Journal:  Nat Chem Biol       Date:  2011-07       Impact factor: 15.040

3.  Mapping of signaling networks through synthetic genetic interaction analysis by RNAi.

Authors:  Thomas Horn; Thomas Sandmann; Bernd Fischer; Elin Axelsson; Wolfgang Huber; Michael Boutros
Journal:  Nat Methods       Date:  2011-03-06       Impact factor: 28.547

Review 4.  Chemical biology applied to the study of bacterial pathogens.

Authors:  Rebecca Anthouard; Victor J DiRita
Journal:  Infect Immun       Date:  2014-11-17       Impact factor: 3.441

5.  Combinatorial drug discovery in nanoliter droplets.

Authors:  Anthony Kulesa; Jared Kehe; Juan E Hurtado; Prianca Tawde; Paul C Blainey
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-13       Impact factor: 11.205

6.  Mechanism of action of the arylomycin antibiotics and effects of signal peptidase I inhibition.

Authors:  Peter A Smith; Floyd E Romesberg
Journal:  Antimicrob Agents Chemother       Date:  2012-07-16       Impact factor: 5.191

7.  High-throughput metabolomic analysis predicts mode of action of uncharacterized antimicrobial compounds.

Authors:  Mattia Zampieri; Balazs Szappanos; Maria Virginia Buchieri; Andrej Trauner; Ilaria Piazza; Paola Picotti; Sébastien Gagneux; Sonia Borrell; Brigitte Gicquel; Joel Lelievre; Balazs Papp; Uwe Sauer
Journal:  Sci Transl Med       Date:  2018-02-21       Impact factor: 17.956

8.  Species-specific activity of antibacterial drug combinations.

Authors:  Ana Rita Brochado; Anja Telzerow; Jacob Bobonis; Manuel Banzhaf; André Mateus; Joel Selkrig; Emily Huth; Stefan Bassler; Jordi Zamarreño Beas; Matylda Zietek; Natalie Ng; Sunniva Foerster; Benjamin Ezraty; Béatrice Py; Frédéric Barras; Mikhail M Savitski; Peer Bork; Stephan Göttig; Athanasios Typas
Journal:  Nature       Date:  2018-07-04       Impact factor: 49.962

9.  Antagonism screen for inhibitors of bacterial cell wall biogenesis uncovers an inhibitor of undecaprenyl diphosphate synthase.

Authors:  Maya A Farha; Tomasz L Czarny; Cullen L Myers; Liam J Worrall; Shawn French; Deborah G Conrady; Yang Wang; Eric Oldfield; Natalie C J Strynadka; Eric D Brown
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

10.  Drug synergy screen and network modeling in dedifferentiated liposarcoma identifies CDK4 and IGF1R as synergistic drug targets.

Authors:  Martin L Miller; Evan J Molinelli; Jayasree S Nair; Tahir Sheikh; Rita Samy; Xiaohong Jing; Qin He; Anil Korkut; Aimee M Crago; Samuel Singer; Gary K Schwartz; Chris Sander
Journal:  Sci Signal       Date:  2013-09-24       Impact factor: 8.192

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.