Literature DB >> 12646024

Virtual screening for submicromolar leads of tRNA-guanine transglycosylase based on a new unexpected binding mode detected by crystal structure analysis.

Ruth Brenk1, Lars Naerum, Ulrich Grädler, Hans-Dieter Gerber, George A Garcia, Klaus Reuter, Milton T Stubbs, Gerhard Klebe.   

Abstract

Eubacterial tRNA-guanine transglycosylase (TGT) is involved in the hypermodification of cognate tRNAs, leading to the exchange of G34 by preQ1 at the wobble position in the anticodon loop. Mutation of the tgt gene in Shigella flexneri results in a significant loss of pathogenicity of the bacterium due to inefficient translation of a virulence protein mRNA. Herein, we describe the discovery of a ligand with an unexpected binding mode. On the basis of this binding mode, three slightly deviating pharmacophore hypotheses have been derived. Virtual screening based on this composite pharmacophore model retrieved a set of potential TGT inhibitors belonging to several compound classes. All nine tested inhibitors being representatives of these classes showed activity in the micromolar range, two of them even in the submicromolar range.

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Year:  2003        PMID: 12646024     DOI: 10.1021/jm0209937

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  13 in total

1.  The effect of tightly bound water molecules on the structural interpretation of ligand-derived pharmacophore models.

Authors:  David G Lloyd; Alfonso T García-Sosa; Ian L Alberts; Nikolay P Todorov; Ricardo L Manceral
Journal:  J Comput Aided Mol Des       Date:  2004-02       Impact factor: 3.686

Review 2.  Ligand discovery and virtual screening using the program LIDAEUS.

Authors:  P Taylor; E Blackburn; Y G Sheng; S Harding; K-Y Hsin; D Kan; S Shave; M D Walkinshaw
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

3.  Glutamate versus glutamine exchange swaps substrate selectivity in tRNA-guanine transglycosylase: insight into the regulation of substrate selectivity by kinetic and crystallographic studies.

Authors:  Naomi Tidten; Bernhard Stengl; Andreas Heine; George A Garcia; Gerhard Klebe; Klaus Reuter
Journal:  J Mol Biol       Date:  2007-10-22       Impact factor: 5.469

4.  Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection?

Authors:  Andrew C Good; Tudor I Oprea
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 3.686

5.  Docking for fragment inhibitors of AmpC beta-lactamase.

Authors:  Denise G Teotico; Kerim Babaoglu; Gabriel J Rocklin; Rafaela S Ferreira; Anthony M Giannetti; Brian K Shoichet
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-22       Impact factor: 11.205

6.  In silico fragment-mapping method: a new tool for fragment-based/structure-based drug discovery.

Authors:  Noriyuki Yamaotsu; Shuichi Hirono
Journal:  J Comput Aided Mol Des       Date:  2018-09-08       Impact factor: 3.686

7.  The role of aspartic acid 143 in E. coli tRNA-guanine transglycosylase: insights from mutagenesis studies and computational modeling.

Authors:  Katherine Abold Todorov; Xiao-Jian Tan; Susanne T Nonekowski; George A Garcia; Heather A Carlson
Journal:  Biophys J       Date:  2005-06-10       Impact factor: 4.033

8.  Computational Prediction of Chemical Tools for Identification and Validation of Synthetic Lethal Interaction Networks.

Authors:  Kalpana K Bhanumathy; Omar Abuhussein; Frederick S Vizeacoumar; Andrew Freywald; Franco J Vizeacoumar; Christopher P Phenix; Eric W Price; Ran Cao
Journal:  Methods Mol Biol       Date:  2021

9.  FTree query construction for virtual screening: a statistical analysis.

Authors:  Christof Gerlach; Howard Broughton; Andrea Zaliani
Journal:  J Comput Aided Mol Des       Date:  2008-01-24       Impact factor: 3.686

10.  Combining docking with pharmacophore filtering for improved virtual screening.

Authors:  Megan L Peach; Marc C Nicklaus
Journal:  J Cheminform       Date:  2009-05-20       Impact factor: 5.514

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