Literature DB >> 15338949

Structure-guided fragment screening for lead discovery.

Marcel L Verdonk1, Michael J Hartshorn.   

Abstract

Fragment-based ligand screening can be a highly effective strategy for drug discovery. In general, fragment hits interact efficiently with the target, and although the potency of these small binders is often low, their optimization into potent leads is tractable. For a hit optimization phase to take full advantage of a good quality fragment binder, we believe it is essential to obtain reliable structural data for the hits. In this review, we describe the methods used for structure-based fragment screening and fragment-to-lead optimization and discuss a number of applications from the literature.

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Year:  2004        PMID: 15338949

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  11 in total

1.  Comprehensive mechanistic analysis of hits from high-throughput and docking screens against beta-lactamase.

Authors:  Kerim Babaoglu; Anton Simeonov; John J Irwin; Michael E Nelson; Brian Feng; Craig J Thomas; Laura Cancian; M Paola Costi; David A Maltby; Ajit Jadhav; James Inglese; Christopher P Austin; Brian K Shoichet
Journal:  J Med Chem       Date:  2008-03-12       Impact factor: 7.446

2.  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

3.  Protein pockets: inventory, shape, and comparison.

Authors:  Ryan G Coleman; Kim A Sharp
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

4.  A Deep Generative Model for Molecule Optimization via One Fragment Modification.

Authors:  Ziqi Chen; Martin Renqiang Min; Srinivasan Parthasarathy; Xia Ning
Journal:  Nat Mach Intell       Date:  2021-12-09

5.  Rationalizing fragment based drug discovery for BACE1: insights from FB-QSAR, FB-QSSR, multi objective (MO-QSPR) and MIF studies.

Authors:  Prabu Manoharan; R S K Vijayan; Nanda Ghoshal
Journal:  J Comput Aided Mol Des       Date:  2010-08-26       Impact factor: 3.686

6.  Minimal pharmacophoric elements and fragment hopping, an approach directed at molecular diversity and isozyme selectivity. Design of selective neuronal nitric oxide synthase inhibitors.

Authors:  Haitao Ji; Benjamin Z Stanton; Jotaro Igarashi; Huiying Li; Pavel Martásek; Linda J Roman; Thomas L Poulos; Richard B Silverman
Journal:  J Am Chem Soc       Date:  2008-03-06       Impact factor: 15.419

7.  Ligand scaffold hopping combining 3D maximal substructure search and molecular similarity.

Authors:  Flavien Quintus; Olivier Sperandio; Julien Grynberg; Michel Petitjean; Pierre Tuffery
Journal:  BMC Bioinformatics       Date:  2009-08-11       Impact factor: 3.169

Review 8.  In silico Strategies to Support Fragment-to-Lead Optimization in Drug Discovery.

Authors:  Lauro Ribeiro de Souza Neto; José Teófilo Moreira-Filho; Bruno Junior Neves; Rocío Lucía Beatriz Riveros Maidana; Ana Carolina Ramos Guimarães; Nicholas Furnham; Carolina Horta Andrade; Floriano Paes Silva
Journal:  Front Chem       Date:  2020-02-18       Impact factor: 5.221

9.  Diverse inhibitor chemotypes targeting Trypanosoma cruzi CYP51.

Authors:  Shamila S Gunatilleke; Claudia M Calvet; Jonathan B Johnston; Chiung-Kuang Chen; Grigori Erenburg; Jiri Gut; Juan C Engel; Kenny K H Ang; Joseph Mulvaney; Steven Chen; Michelle R Arkin; James H McKerrow; Larissa M Podust
Journal:  PLoS Negl Trop Dis       Date:  2012-07-31

10.  Insilico docking study of compounds elucidated from helicteres isora fruits with ampkinase- insulin receptor.

Authors:  Subramanium Vennila; Giridharan Bupesh; Krishnan Saravanamurali; Viajayan SenthilKumar; Ramalingam SenthilRaja; Natarajan Saran; Sachidanandam Magesh
Journal:  Bioinformation       Date:  2014-05-20
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