Literature DB >> 18799223

Rising standards for tuberculosis drug development.

Tanjore S Balganesh1, Pedro M Alzari, Stewart T Cole.   

Abstract

Development of new drugs to treat tuberculosis (TB) faces even more constraints than the development of therapeutic agents for other diseases. This is due, in part, to intrinsic properties of the tubercle bacillus, such as its slow growth, phenotypic drug resistance during persistence and the need for compounds with a novel mode of action because of the increasing prevalence of primary resistance to the current TB drugs. Demographic changes to the population of TB patients are also a confounding factor; these now include co-infection with HIV, but other elements, such as the growing type-2 diabetes epidemic, should not be ignored. Consequently, a new TB drug will not only have to pass all the safety requirements associated with prolonged administration but also have to be compatible with antiretroviral therapy and, possibly, other medications. Here, we review the changing clinical landscape of TB and outline how this needs to be taken into consideration when defining the product profile for a new TB drug, before describing recent progress.

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Year:  2008        PMID: 18799223     DOI: 10.1016/j.tips.2008.08.001

Source DB:  PubMed          Journal:  Trends Pharmacol Sci        ISSN: 0165-6147            Impact factor:   14.819


  27 in total

1.  Acyldepsipeptide antibiotics kill mycobacteria by preventing the physiological functions of the ClpP1P2 protease.

Authors:  Kirsten Famulla; Peter Sass; Imran Malik; Tatos Akopian; Olga Kandror; Marina Alber; Berthold Hinzen; Helga Ruebsamen-Schaeff; Rainer Kalscheuer; Alfred L Goldberg; Heike Brötz-Oesterhelt
Journal:  Mol Microbiol       Date:  2016-04-01       Impact factor: 3.501

2.  Reaching out to collaborators: crowdsourcing for pharmaceutical research.

Authors:  Sean Ekins; Antony J Williams
Journal:  Pharm Res       Date:  2010-01-27       Impact factor: 4.200

3.  Depletion of antibiotic targets has widely varying effects on growth.

Authors:  Jun-Rong Wei; Vidhya Krishnamoorthy; Kenan Murphy; Jee-Hyun Kim; Dirk Schnappinger; Tom Alber; Christopher M Sassetti; Kyu Y Rhee; Eric J Rubin
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-22       Impact factor: 11.205

4.  Combining cheminformatics methods and pathway analysis to identify molecules with whole-cell activity against Mycobacterium tuberculosis.

Authors:  Malabika Sarker; Carolyn Talcott; Peter Madrid; Sidharth Chopra; Barry A Bunin; Gyanu Lamichhane; Joel S Freundlich; Sean Ekins
Journal:  Pharm Res       Date:  2012-04-04       Impact factor: 4.200

Review 5.  Computational databases, pathway and cheminformatics tools for tuberculosis drug discovery.

Authors:  Sean Ekins; Joel S Freundlich; Inhee Choi; Malabika Sarker; Carolyn Talcott
Journal:  Trends Microbiol       Date:  2010-12-02       Impact factor: 17.079

6.  Bioluminescent Reporters for Rapid Mechanism of Action Assessment in Tuberculosis Drug Discovery.

Authors:  Krupa Naran; Atica Moosa; Clifton E Barry; Helena I M Boshoff; Valerie Mizrahi; Digby F Warner
Journal:  Antimicrob Agents Chemother       Date:  2016-10-21       Impact factor: 5.191

7.  Benzothiazinones kill Mycobacterium tuberculosis by blocking arabinan synthesis.

Authors:  Vadim Makarov; Giulia Manina; Katarina Mikusova; Ute Möllmann; Olga Ryabova; Brigitte Saint-Joanis; Neeraj Dhar; Maria Rosalia Pasca; Silvia Buroni; Anna Paola Lucarelli; Anna Milano; Edda De Rossi; Martina Belanova; Adela Bobovska; Petronela Dianiskova; Jana Kordulakova; Claudia Sala; Elizabeth Fullam; Patricia Schneider; John D McKinney; Priscille Brodin; Thierry Christophe; Simon Waddell; Philip Butcher; Jakob Albrethsen; Ida Rosenkrands; Roland Brosch; Vrinda Nandi; Sowmya Bharath; Sheshagiri Gaonkar; Radha K Shandil; Venkataraman Balasubramanian; Tanjore Balganesh; Sandeep Tyagi; Jacques Grosset; Giovanna Riccardi; Stewart T Cole
Journal:  Science       Date:  2009-03-19       Impact factor: 47.728

8.  Biochemical characterization of the maltokinase from Mycobacterium bovis BCG.

Authors:  Vítor Mendes; Ana Maranha; Pedro Lamosa; Milton S da Costa; Nuno Empadinhas
Journal:  BMC Biochem       Date:  2010-05-27       Impact factor: 4.059

9.  An Imbalanced Learning based MDR-TB Early Warning System.

Authors:  Sheng Li; Bo Tang; Haibo He
Journal:  J Med Syst       Date:  2016-05-21       Impact factor: 4.460

10.  High content screening identifies decaprenyl-phosphoribose 2' epimerase as a target for intracellular antimycobacterial inhibitors.

Authors:  Thierry Christophe; Mary Jackson; Hee Kyoung Jeon; Denis Fenistein; Monica Contreras-Dominguez; Jaeseung Kim; Auguste Genovesio; Jean-Philippe Carralot; Fanny Ewann; Eun Hye Kim; Sae Yeon Lee; Sunhee Kang; Min Jung Seo; Eun Jung Park; Henrieta Skovierová; Ha Pham; Giovanna Riccardi; Ji Youn Nam; Laurent Marsollier; Marie Kempf; Marie-Laure Joly-Guillou; Taegwon Oh; Won Kyung Shin; Zaesung No; Ulf Nehrbass; Roland Brosch; Stewart T Cole; Priscille Brodin
Journal:  PLoS Pathog       Date:  2009-10-30       Impact factor: 6.823

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