Literature DB >> 15743191

A shape-based 3-D scaffold hopping method and its application to a bacterial protein-protein interaction.

Thomas S Rush1, J Andrew Grant, Lidia Mosyak, Anthony Nicholls.   

Abstract

In this paper, we describe the first prospective application of the shape-comparison program ROCS (Rapid Overlay of Chemical Structures) to find new scaffolds for small molecule inhibitors of the ZipA-FtsZ protein-protein interaction, a proposed antibacterial target. The shape comparisons are made relative to the crystallographically determined, bioactive conformation of a high-throughput screening (HTS) hit. The use of ROCS led to the identification of a set of novel, weakly binding inhibitors with scaffolds presenting synthetic opportunities to further optimize biological affinity and lacking development issues associated with the HTS lead. These ROCS-identified scaffolds would have been missed using other structural similarity approaches such as ISIS 2D fingerprints. X-ray crystallographic analysis of one of the new inhibitors bound to ZipA reveals that the shape comparison approach very accurately predicted the binding mode. These experimental results validate this use of ROCS for chemotype switching or "lead hopping" and suggest that it is of general interest for lead identification in drug discovery endeavors.

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Year:  2005        PMID: 15743191     DOI: 10.1021/jm040163o

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


  131 in total

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Journal:  Microbiol Mol Biol Rev       Date:  2010-06       Impact factor: 11.056

2.  ElectroShape: fast molecular similarity calculations incorporating shape, chirality and electrostatics.

Authors:  M Stuart Armstrong; Garrett M Morris; Paul W Finn; Raman Sharma; Loris Moretti; Richard I Cooper; W Graham Richards
Journal:  J Comput Aided Mol Des       Date:  2010-07-08       Impact factor: 3.686

3.  Avalanche for shape and feature-based virtual screening with 3D alignment.

Authors:  David J Diller; Nancy D Connell; William J Welsh
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4.  Activity cliffs and activity cliff generators based on chemotype-related activity landscapes.

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Journal:  Mol Divers       Date:  2015-07-07       Impact factor: 2.943

5.  Molecular shape and electrostatics in the encoding of relevant chemical information.

Authors:  Anthony Nicholls; J Andrew Grant
Journal:  J Comput Aided Mol Des       Date:  2005-11-23       Impact factor: 3.686

6.  An efficient and accurate molecular alignment and docking technique using ab initio quality scoring.

Authors:  László Füsti-Molnár; Kenneth M Merz
Journal:  J Chem Phys       Date:  2008-07-14       Impact factor: 3.488

7.  One-pot high-throughput synthesis of beta-turn cyclic peptidomimetics via "volatilizable" supports.

Authors:  Yangmei Li; Yongping Yu; Marc Giulianotti; Richard A Houghten
Journal:  J Org Chem       Date:  2009-03-06       Impact factor: 4.354

8.  SCISSORS: practical considerations.

Authors:  Steven M Kearnes; Imran S Haque; Vijay S Pande
Journal:  J Chem Inf Model       Date:  2013-12-16       Impact factor: 4.956

Review 9.  Machine learning in chemoinformatics and drug discovery.

Authors:  Yu-Chen Lo; Stefano E Rensi; Wen Torng; Russ B Altman
Journal:  Drug Discov Today       Date:  2018-05-08       Impact factor: 7.851

10.  D3R grand challenge 2015: Evaluation of protein-ligand pose and affinity predictions.

Authors:  Symon Gathiaka; Shuai Liu; Michael Chiu; Huanwang Yang; Jeanne A Stuckey; You Na Kang; Jim Delproposto; Ginger Kubish; James B Dunbar; Heather A Carlson; Stephen K Burley; W Patrick Walters; Rommie E Amaro; Victoria A Feher; Michael K Gilson
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

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