Literature DB >> 15917508

New small-molecule synthetic antimycobacterials.

Lluis Ballell1, Robert A Field, Ken Duncan, Robert J Young.   

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Year:  2005        PMID： 15917508      PMCID： PMC1140552          DOI： 10.1128/AAC.49.6.2153-2163.2005

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN： 0066-4804            Impact factor:   5.191


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  91 in total

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2.  Influence of the replacement of the oxo function with the thioxo group on the antimycobacterial activity of 3-aryl-6,8-dichloro-2H-1,3-benzoxazine-2,4(3H)-diones and 3-arylquinazoline-2,4(1H,3H)-diones.

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3.  Synthesis and antimycobacterial activity of 6-arylpurines: the requirements for the N-9 substituent in active antimycobacterial purines.

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Journal:  J Med Chem       Date:  2002-03-14       Impact factor: 7.446

4.  Chemical constituents of Gentianaceae XXIV: Anti-Mycobacterium tuberculosis activity of naturally occurring xanthones and synthetic analogs.

Authors:  S Ghosal; K Biswas; R K Chaudhuri
Journal:  J Pharm Sci       Date:  1978-05       Impact factor: 3.534

Review 5.  Impact of antimicrobial agents on the gastrointestinal microflora and the risk of infections.

Authors:  C E Nord; L Kager; A Heimdahl
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6.  Mycobacterial arabinan biosynthesis: the use of synthetic arabinoside acceptors in the development of an arabinosyl transfer assay.

Authors:  R E Lee; P J Brennan; G S Besra
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Review 7.  [Tuberculosis in patients with acquired immune deficiency syndrome].

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8.  2-Alkoxycarbonylaminopyridines: inhibitors of Mycobacterium tuberculosis FtsZ.

Authors:  E Lucile White; William J Suling; Larry J Ross; Lainne E Seitz; Robert C Reynolds
Journal:  J Antimicrob Chemother       Date:  2002-07       Impact factor: 5.790

9.  Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence.

Authors:  S T Cole; R Brosch; J Parkhill; T Garnier; C Churcher; D Harris; S V Gordon; K Eiglmeier; S Gas; C E Barry; F Tekaia; K Badcock; D Basham; D Brown; T Chillingworth; R Connor; R Davies; K Devlin; T Feltwell; S Gentles; N Hamlin; S Holroyd; T Hornsby; K Jagels; A Krogh; J McLean; S Moule; L Murphy; K Oliver; J Osborne; M A Quail; M A Rajandream; J Rogers; S Rutter; K Seeger; J Skelton; R Squares; S Squares; J E Sulston; K Taylor; S Whitehead; B G Barrell
Journal:  Nature       Date:  1998-06-11       Impact factor: 49.962

10.  Synthesis, anti-mycobacterial, anti-trichomonas and anti-candida in vitro activities of 2-substituted-6,7-difluoro-3-methylquinoxaline 1,4-dioxides.

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  28 in total

Review 1.  TMC207: the first compound of a new class of potent anti-tuberculosis drugs.

Authors:  Alberto Matteelli; Anna Cc Carvalho; Kelly E Dooley; Afranio Kritski
Journal:  Future Microbiol       Date:  2010-06       Impact factor: 3.165

2.  Synergistic activity of R207910 combined with pyrazinamide against murine tuberculosis.

Authors:  M Ibrahim; K Andries; N Lounis; A Chauffour; C Truffot-Pernot; V Jarlier; N Veziris
Journal:  Antimicrob Agents Chemother       Date:  2006-12-18       Impact factor: 5.191

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

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4.  Modeling of a new tubercular maltosyl transferase, GlgE, study of its binding sites and virtual screening.

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Journal:  Mol Biol Rep       Date:  2014-05-13       Impact factor: 2.316

5.  Development of cyclobutene- and cyclobutane-functionalized fatty acids with inhibitory activity against Mycobacterium tuberculosis.

Authors:  Wantanee Sittiwong; Denise K Zinniel; Robert J Fenton; Darrell D Marshall; Courtney B Story; Bohkyung Kim; Ji-Young Lee; Robert Powers; Raúl G Barletta; Patrick H Dussault
Journal:  ChemMedChem       Date:  2014-06-05       Impact factor: 3.466

6.  Bayesian models for screening and TB Mobile for target inference with Mycobacterium tuberculosis.

Authors:  Sean Ekins; Allen C Casey; David Roberts; Tanya Parish; Barry A Bunin
Journal:  Tuberculosis (Edinb)       Date:  2013-12-19       Impact factor: 3.131

Review 7.  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

8.  Bayesian models leveraging bioactivity and cytotoxicity information for drug discovery.

Authors:  Sean Ekins; Robert C Reynolds; Hiyun Kim; Mi-Sun Koo; Marilyn Ekonomidis; Meliza Talaue; Steve D Paget; Lisa K Woolhiser; Anne J Lenaerts; Barry A Bunin; Nancy Connell; Joel S Freundlich
Journal:  Chem Biol       Date:  2013-03-21

9.  Essential metabolites of Mycobacterium tuberculosis and their mimics.

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10.  Are bigger data sets better for machine learning? Fusing single-point and dual-event dose response data for Mycobacterium tuberculosis.

Authors:  Sean Ekins; Joel S Freundlich; Robert C Reynolds
Journal:  J Chem Inf Model       Date:  2014-07-17       Impact factor: 4.956
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