Literature DB >> 12163125

Rational identification of new antibacterial drug targets that are essential for viability using a genomics-based approach.

Alison F Chalker1, R Dwayne Lunsford.   

Abstract

In the last two decades, the search for completely novel antibacterial agents has acquired a new sense of urgency due to the remarkable rise of antibiotic resistance among key bacterial pathogens. More recently, the advent of bacterial genomics has provided investigators with the data and bioinformatic tools to rationally identify novel antibacterial targets and the genome-scaled methodologies to validate them. Only 6 years have elapsed since the publication of the first complete bacterial genome sequence, but more than 50 complete microbial genome sequences are now available. This review will discuss the advantages and limitations of the existing bacterial genome dataset for the rational identification of novel antibacterial targets. Since the ability to rapidly identify essential genes where loss of function is coincident with loss of viability is the most important task of genomics-based target validation, essentiality testing methodologies (in which molecular genetic techniques are used to determine whether or not a gene product is required for viability of the parent cell) will be surveyed and their amenability to genome-scaled analysis assessed. Finally, we will discuss the impact of bacterial genomics to date on the development of novel and effective antibiotics.

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Year:  2002        PMID: 12163125     DOI: 10.1016/s0163-7258(02)00222-x

Source DB:  PubMed          Journal:  Pharmacol Ther        ISSN: 0163-7258            Impact factor:   12.310


  9 in total

1.  Predicting essential genes in fungal genomes.

Authors:  Michael Seringhaus; Alberto Paccanaro; Anthony Borneman; Michael Snyder; Mark Gerstein
Journal:  Genome Res       Date:  2006-08-09       Impact factor: 9.043

2.  Chemical genomics in Escherichia coli identifies an inhibitor of bacterial lipoprotein targeting.

Authors:  Ranjana Pathania; Soumaya Zlitni; Courtney Barker; Rahul Das; David A Gerritsma; Julie Lebert; Emilia Awuah; Giuseppe Melacini; Fred A Capretta; Eric D Brown
Journal:  Nat Chem Biol       Date:  2009-09-27       Impact factor: 15.040

Review 3.  Bacterial resistance: a sensitive issue complexity of the challenge and containment strategy in Europe.

Authors:  W T M Jansen; J T van der Bruggen; J Verhoef; A C Fluit
Journal:  Drug Resist Updat       Date:  2006-06-27       Impact factor: 18.500

4.  A comprehensive transposon mutant library of Francisella novicida, a bioweapon surrogate.

Authors:  Larry A Gallagher; Elizabeth Ramage; Michael A Jacobs; Rajinder Kaul; Mitchell Brittnacher; Colin Manoil
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-10       Impact factor: 11.205

5.  Relationship between insertion/deletion (indel) frequency of proteins and essentiality.

Authors:  Simon K Chan; Michael Hsing; Fereydoun Hormozdiari; Artem Cherkasov
Journal:  BMC Bioinformatics       Date:  2007-06-28       Impact factor: 3.169

6.  A new computational strategy for predicting essential genes.

Authors:  Jian Cheng; Wenwu Wu; Yinwen Zhang; Xiangchen Li; Xiaoqian Jiang; Gehong Wei; Shiheng Tao
Journal:  BMC Genomics       Date:  2013-12-21       Impact factor: 3.969

7.  Sequence-based information-theoretic features for gene essentiality prediction.

Authors:  Dawit Nigatu; Patrick Sobetzko; Malik Yousef; Werner Henkel
Journal:  BMC Bioinformatics       Date:  2017-11-09       Impact factor: 3.169

8.  The evolutionary rate of antibacterial drug targets.

Authors:  Arkadiusz Gladki; Szymon Kaczanowski; Pawel Szczesny; Piotr Zielenkiewicz
Journal:  BMC Bioinformatics       Date:  2013-02-01       Impact factor: 3.169

9.  Training set selection for the prediction of essential genes.

Authors:  Jian Cheng; Zhao Xu; Wenwu Wu; Li Zhao; Xiangchen Li; Yanlin Liu; Shiheng Tao
Journal:  PLoS One       Date:  2014-01-22       Impact factor: 3.240

  9 in total

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