Literature DB >> 11749532

Use of MCSS to design small targeted libraries: application to picornavirus ligands.

D Joseph-McCarthy1, S K Tsang, D J Filman, J M Hogle, M Karplus.   

Abstract

Computational methods were used to design structure-based combinatorial libraries of antipicornaviral capsid-binding ligands. The multiple copy simultaneous search (MCSS) program was employed to calculate functionality maps for many diverse functional groups for both the poliovirus and rhinovirus capsid structures in the region of the known drug binding pocket. Based on the results of the MCSS calculations, small combinatorial libraries consisting of 10s or 100s of three-monomer compounds were designed and synthesized. Ligand binding was demonstrated by a noncell-based mass spectrometric assay, a functional immuno-precipitation assay, and crystallographic analysis of the complexes of the virus with two of the candidate ligands. The P1/Mahoney poliovirus strain was used in the experimental studies. A comparison showed that the MCSS calculations had correctly identified the observed binding site for all three monomer units in one ligand and for two out of three in the other ligand. The correct central monomer position in the second ligand was reproduced in calculations in which the several key residues lining the pocket were allowed to move. This study validates the computational methodology. It also illustrates that subtle changes in protein structure can lead to differences in docking results and points to the importance of including target flexibility, as well as ligand flexibility, in the design process.

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Year:  2001        PMID: 11749532     DOI: 10.1021/ja003972f

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  7 in total

1.  Modified replica exchange simulation methods for local structure refinement.

Authors:  Xiaolin Cheng; Guanglei Cui; Viktor Hornak; Carlos Simmerling
Journal:  J Phys Chem B       Date:  2005-04-28       Impact factor: 2.991

2.  Ligand design by a combinatorial approach based on modeling and experiment: application to HLA-DR4.

Authors:  Erik Evensen; Diane Joseph-McCarthy; Gregory A Weiss; Stuart L Schreiber; Martin Karplus
Journal:  J Comput Aided Mol Des       Date:  2007-07-27       Impact factor: 3.686

Review 3.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

Review 4.  The multi-copy simultaneous search methodology: a fundamental tool for structure-based drug design.

Authors:  Christian R Schubert; Collin M Stultz
Journal:  J Comput Aided Mol Des       Date:  2009-06-09       Impact factor: 3.686

5.  Computational analysis of protein hotspots.

Authors:  Chao-Yie Yang; Shaomeng Wang
Journal:  ACS Med Chem Lett       Date:  2010-03-25       Impact factor: 4.345

6.  Novel inhibitors of anthrax edema factor.

Authors:  Deliang Chen; Milind Misra; Laurie Sower; Johnny W Peterson; Glen E Kellogg; Catherine H Schein
Journal:  Bioorg Med Chem       Date:  2008-06-28       Impact factor: 3.641

7.  More-powerful virus inhibitors from structure-based analysis of HEV71 capsid-binding molecules.

Authors:  Luigi De Colibus; Xiangxi Wang; John A B Spyrou; James Kelly; Jingshan Ren; Jonathan Grimes; Gerhard Puerstinger; Nicola Stonehouse; Thomas S Walter; Zhongyu Hu; Junzhi Wang; Xuemei Li; Wei Peng; David Rowlands; Elizabeth E Fry; Zihe Rao; David I Stuart
Journal:  Nat Struct Mol Biol       Date:  2014-02-09       Impact factor: 15.369

  7 in total

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