Literature DB >> 25636146

A virtual screen discovers novel, fragment-sized inhibitors of Mycobacterium tuberculosis InhA.

Alexander L Perryman1, Weixuan Yu, Xin Wang, Sean Ekins2,3, Stefano Forli1, Shao-Gang Li, Joel S Freundlich, Peter J Tonge, Arthur J Olson1.   

Abstract

Isoniazid (INH) is usually administered to treat latent Mycobacterium tuberculosis (Mtb) infections and is used in combination therapy to treat active tuberculosis (TB). Unfortunately, resistance to this drug is hampering its clinical effectiveness. INH is a prodrug that must be activated by Mtb catalase-peroxidase (KatG) before it can inhibit InhA (Mtb enoyl-acyl-carrier-protein reductase). Isoniazid-resistant cases of TB found in clinical settings usually involve mutations in or deletion of katG, which abrogate INH activation. Compounds that inhibit InhA without requiring prior activation by KatG would not be affected by this resistance mechanism and hence would display continued potency against these drug-resistant isolates of Mtb. Virtual screening experiments versus InhA in the GO Fight Against Malaria (GO FAM) project were designed to discover new scaffolds that display base-stacking interactions with the NAD cofactor. GO FAM experiments included targets from other pathogens, including Mtb, when they had structural similarity to a malaria target. Eight of the 16 soluble compounds identified by docking against InhA plus visual inspection were modest inhibitors and did not require prior activation by KatG. The best two inhibitors discovered are both fragment-sized compounds and displayed Ki values of 54 and 59 μM, respectively. Importantly, the novel inhibitors discovered have low structural similarity to known InhA inhibitors and thus help expand the number of chemotypes on which future medicinal chemistry efforts can be focused. These new fragment hits could eventually help advance the fight against INH-resistant Mtb strains, which pose a significant global health threat.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25636146      PMCID: PMC4386068          DOI: 10.1021/ci500672v

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  126 in total

1.  Structural basis for drug and substrate specificity exhibited by FIV encoding a chimeric FIV/HIV protease.

Authors:  Ying Chuan Lin; Alexander L Perryman; Arthur J Olson; Bruce E Torbett; John H Elder; C David Stout
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2011-05-12

2.  Determination of triclosan metabolites by using in-source fragmentation from high-performance liquid chromatography/negative atmospheric pressure chemical ionization ion trap mass spectrometry.

Authors:  Jian-lin Wu; Jie Liu; Zongwei Cai
Journal:  Rapid Commun Mass Spectrom       Date:  2010-07-15       Impact factor: 2.419

3.  Rapid, low-technology MIC determination with clinical Mycobacterium tuberculosis isolates by using the microplate Alamar Blue assay.

Authors:  S G Franzblau; R S Witzig; J C McLaughlin; P Torres; G Madico; A Hernandez; M T Degnan; M B Cook; V K Quenzer; R M Ferguson; R H Gilman
Journal:  J Clin Microbiol       Date:  1998-02       Impact factor: 5.948

4.  Effect of mutation and genetic background on drug resistance in Mycobacterium tuberculosis.

Authors:  Lukas Fenner; Matthias Egger; Thomas Bodmer; Ekkehardt Altpeter; Marcel Zwahlen; Katia Jaton; Gaby E Pfyffer; Sonia Borrell; Olivier Dubuis; Thomas Bruderer; Hans H Siegrist; Hansjakob Furrer; Alexandra Calmy; Jan Fehr; Jesica Mazza Stalder; Béatrice Ninet; Erik C Böttger; Sebastien Gagneux
Journal:  Antimicrob Agents Chemother       Date:  2012-04-02       Impact factor: 5.191

5.  Automated docking in crystallography: analysis of the substrates of aconitase.

Authors:  D S Goodsell; H Lauble; C D Stout; A J Olson
Journal:  Proteins       Date:  1993-09

6.  BINANA: a novel algorithm for ligand-binding characterization.

Authors:  Jacob D Durrant; J Andrew McCammon
Journal:  J Mol Graph Model       Date:  2011-01-19       Impact factor: 2.518

7.  Application of fragment screening by X-ray crystallography to beta-secretase.

Authors:  Christopher W Murray; Owen Callaghan; Gianni Chessari; Anne Cleasby; Miles Congreve; Martyn Frederickson; Michael J Hartshorn; Rachel McMenamin; Sahil Patel; Nicola Wallis
Journal:  J Med Chem       Date:  2007-02-22       Impact factor: 7.446

8.  Pyridomycin bridges the NADH- and substrate-binding pockets of the enoyl reductase InhA.

Authors:  Ruben C Hartkoorn; Florence Pojer; Jon A Read; Helen Gingell; João Neres; Oliver P Horlacher; Karl-Heinz Altmann; Stewart T Cole
Journal:  Nat Chem Biol       Date:  2013-12-01       Impact factor: 15.040

9.  Sequence-dependent DNA structure. The role of base stacking interactions.

Authors:  C A Hunter
Journal:  J Mol Biol       Date:  1993-04-05       Impact factor: 5.469

10.  Testing the substrate-envelope hypothesis with designed pairs of compounds.

Authors:  Yang Shen; Michael D Altman; Akbar Ali; Madhavi N L Nalam; Hong Cao; Tariq M Rana; Celia A Schiffer; Bruce Tidor
Journal:  ACS Chem Biol       Date:  2013-09-26       Impact factor: 5.100

View more
  12 in total

Review 1.  Docking Screens for Novel Ligands Conferring New Biology.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2016-03-15       Impact factor: 7.446

2.  Mycobacterium tuberculosis serine/threonine protein kinases: structural information for the design of their specific ATP-competitive inhibitors.

Authors:  Julio Caballero; Alejandro Morales-Bayuelo; Carlos Navarro-Retamal
Journal:  J Comput Aided Mol Des       Date:  2018-10-26       Impact factor: 3.686

Review 3.  Structural approaches to pathway-specific antimicrobial agents.

Authors:  Michael E Johnson; Leslie W-M Fung
Journal:  Transl Res       Date:  2020-02-06       Impact factor: 7.012

4.  Comparing and Validating Machine Learning Models for Mycobacterium tuberculosis Drug Discovery.

Authors:  Thomas Lane; Daniel P Russo; Kimberley M Zorn; Alex M Clark; Alexandru Korotcov; Valery Tkachenko; Robert C Reynolds; Alexander L Perryman; Joel S Freundlich; Sean Ekins
Journal:  Mol Pharm       Date:  2018-04-26       Impact factor: 4.939

5.  Radiolabelling and positron emission tomography of PT70, a time-dependent inhibitor of InhA, the Mycobacterium tuberculosis enoyl-ACP reductase.

Authors:  Hui Wang; Li Liu; Yang Lu; Pan Pan; Jacob M Hooker; Joanna S Fowler; Peter J Tonge
Journal:  Bioorg Med Chem Lett       Date:  2015-07-14       Impact factor: 2.823

6.  Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

Authors:  Alexander L Perryman; Thomas P Stratton; Sean Ekins; Joel S Freundlich
Journal:  Pharm Res       Date:  2015-09-28       Impact factor: 4.200

7.  Molecular modeling of a series of dehydroquinate dehydratase type II inhibitors of Mycobacterium tuberculosis and design of new binders.

Authors:  Paulo H de S Miranda; Estela M G Lourenço; Alexander M S Morais; Pedro I C de Oliveira; Priscilla S de S N Silverio; Alessandro K Jordão; Euzébio G Barbosa
Journal:  Mol Divers       Date:  2019-12-09       Impact factor: 2.943

8.  Computational protein-ligand docking and virtual drug screening with the AutoDock suite.

Authors:  Stefano Forli; Ruth Huey; Michael E Pique; Michel F Sanner; David S Goodsell; Arthur J Olson
Journal:  Nat Protoc       Date:  2016-04-14       Impact factor: 13.491

9.  1001 Ways to run AutoDock Vina for virtual screening.

Authors:  Mohammad Mahdi Jaghoori; Boris Bleijlevens; Silvia D Olabarriaga
Journal:  J Comput Aided Mol Des       Date:  2016-02-20       Impact factor: 3.686

Review 10.  Charting a Path to Success in Virtual Screening.

Authors:  Stefano Forli
Journal:  Molecules       Date:  2015-10-15       Impact factor: 4.411

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.