Literature DB >> 16494849

Antibacterial drug discovery--then, now and the genomics future.

Richard L Monaghan1, John F Barrett.   

Abstract

Drug discovery research in the area of infectious diseases, in particular that dealing with antibacterial/antibiotic susceptibility and resistance, is in a process of continuing evolution. Steeped in the history of the highly successful intervention with chemotherapeutic agents to treat human infections, the emergence of drug-resistant pathogens worldwide presents a serious unmet medical need, if not a pending catastrophe. Research in both academia and industry over the past 30 years using molecular biology, genetics and more recently--bacterial genomics--has assembled key enabling technologies to increase productivity and success rates in the discovery and development of novel antibacterial agents. However genomics is not limited only to antibacterial target selection but provides the opportunity to further understand key interactions in the use of antibacterial compounds as therapeutic agents (such as resistance emergence, susceptibility, efflux, interactions between compound and pathogen, etc.). Genomics also offers the potential for insights into: bacterial niche adaptation, host susceptibility, treatment regimens, antibiotic resistance, pharmacokinetics (e.g., host metabolism differences), safety and the microbial genesis of chronic diseases (e.g., gastric ulceration).

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Year:  2006        PMID: 16494849     DOI: 10.1016/j.bcp.2005.11.023

Source DB:  PubMed          Journal:  Biochem Pharmacol        ISSN: 0006-2952            Impact factor:   5.858


  20 in total

1.  Identification of the proteasome inhibitor MG262 as a potent ATP-dependent inhibitor of the Salmonella enterica serovar Typhimurium Lon protease.

Authors:  Hilary Frase; Jason Hudak; Irene Lee
Journal:  Biochemistry       Date:  2006-07-11       Impact factor: 3.162

Review 2.  Novel approaches to developing new antibiotics for bacterial infections.

Authors:  A R M Coates; Y Hu
Journal:  Br J Pharmacol       Date:  2007-08-20       Impact factor: 8.739

3.  Molecular dynamics and docking simulations as a proof of high flexibility in E. coli FabH and its relevance for accurate inhibitor modeling.

Authors:  Yunierkis Pérez-Castillo; Matheus Froeyen; Miguel Angel Cabrera-Pérez; Ann Nowé
Journal:  J Comput Aided Mol Des       Date:  2011-04-23       Impact factor: 3.686

4.  Thermodynamic computational approach to capture molecular recognition in the binding of different inhibitors to the DNA gyrase B subunit from Escherichia coli.

Authors:  Liane Saíz-Urra; Miguel Ángel Cabrera Pérez; Matheus Froeyen
Journal:  J Mol Model       Date:  2013-04-30       Impact factor: 1.810

5.  Toward the computer-aided discovery of FabH inhibitors. Do predictive QSAR models ensure high quality virtual screening performance?

Authors:  Yunierkis Pérez-Castillo; Maykel Cruz-Monteagudo; Cosmin Lazar; Jonatan Taminau; Mathy Froeyen; Miguel Angel Cabrera-Pérez; Ann Nowé
Journal:  Mol Divers       Date:  2014-03-27       Impact factor: 2.943

6.  A novel high-throughput cell-based assay aimed at identifying inhibitors of DNA metabolism in bacteria.

Authors:  Jun Fan; Boudewijn L M de Jonge; Kathy MacCormack; Shubha Sriram; Robert E McLaughlin; Helen Plant; Marian Preston; Paul R Fleming; Robert Albert; Melinda Foulk; Scott D Mills
Journal:  Antimicrob Agents Chemother       Date:  2014-09-22       Impact factor: 5.191

7.  Coping with antibiotic resistance: contributions from genomics.

Authors:  Gian Maria Rossolini; Maria Cristina Thaller
Journal:  Genome Med       Date:  2010-02-25       Impact factor: 11.117

Review 8.  Development of novel drugs from marine surface associated microorganisms.

Authors:  Anahit Penesyan; Staffan Kjelleberg; Suhelen Egan
Journal:  Mar Drugs       Date:  2010-03-01       Impact factor: 5.118

9.  Novel riboswitch ligand analogs as selective inhibitors of guanine-related metabolic pathways.

Authors:  Jérôme Mulhbacher; Eric Brouillette; Marianne Allard; Louis-Charles Fortier; François Malouin; Daniel A Lafontaine
Journal:  PLoS Pathog       Date:  2010-04-22       Impact factor: 6.823

10.  Targeting a bacterial stress response to enhance antibiotic action.

Authors:  Samuel Lee; Aaron Hinz; Elizabeth Bauerle; Angus Angermeyer; Katy Juhaszova; Yukihiro Kaneko; Pradeep K Singh; Colin Manoil
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-12       Impact factor: 11.205

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