Literature DB >> 17072304

Deconstructing fragment-based inhibitor discovery.

Kerim Babaoglu, Brian K Shoichet.   

Abstract

Fragment-based screens test multiple low-molecular weight molecules for binding to a target. Fragments often bind with low affinities but typically have better ligand efficiencies (DeltaG(bind)/heavy atom count) than traditional screening hits. This efficiency, combined with accompanying atomic-resolution structures, has made fragments popular starting points for drug discovery programs. Fragment-based design adopts a constructive strategy: affinity is enhanced either by cycles of functional-group addition or by joining two independent fragments together. The final inhibitor is expected to adopt the same geometry as the original fragment hit. Here we consider whether the inverse, deconstructive logic also applies--can one always parse a higher-affinity inhibitor into fragments that recapitulate the binding geometry of the larger molecule? Cocrystal structures of fragments deconstructed from a known beta-lactamase inhibitor suggest that this is not always the case.

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Year:  2006        PMID: 17072304     DOI: 10.1038/nchembio831

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  48 in total

1.  Computational fragment-based screening using RosettaLigand: the SAMPL3 challenge.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2012-01-15       Impact factor: 3.686

2.  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

3.  Energetic analysis of fragment docking and application to structure-based pharmacophore hypothesis generation.

Authors:  Kathryn Loving; Noeris K Salam; Woody Sherman
Journal:  J Comput Aided Mol Des       Date:  2009-05-07       Impact factor: 3.686

4.  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

5.  ScafBank: a public comprehensive Scaffold database to support molecular hopping.

Authors:  Bi-Bo Yan; Meng-Zhu Xue; Bing Xiong; Ke Liu; Ding-Yu Hu; Jing-Kang Shen
Journal:  Acta Pharmacol Sin       Date:  2009-01-19       Impact factor: 6.150

6.  Design of e-pharmacophore models using compound fragments for the trans-sialidase of Trypanosoma cruzi: screening for novel inhibitor scaffolds.

Authors:  Bill R Miller; Adrian E Roitberg
Journal:  J Mol Graph Model       Date:  2013-08-16       Impact factor: 2.518

7.  Fragment-based lead generation: identification of seed fragments by a highly efficient fragment screening technology.

Authors:  Lars Neumann; Allegra Ritscher; Gerhard Müller; Doris Hafenbradl
Journal:  J Comput Aided Mol Des       Date:  2009-06-17       Impact factor: 3.686

8.  The multiple roles of computational chemistry in fragment-based drug design.

Authors:  Richard Law; Oliver Barker; John J Barker; Thomas Hesterkamp; Robert Godemann; Ole Andersen; Tara Fryatt; Steve Courtney; Dave Hallett; Mark Whittaker
Journal:  J Comput Aided Mol Des       Date:  2009-06-17       Impact factor: 3.686

9.  Identification of trisubstituted-pyrazol carboxamide analogs as novel and potent antagonists of farnesoid X receptor.

Authors:  Donna D Yu; Wenwei Lin; Barry M Forman; Taosheng Chen
Journal:  Bioorg Med Chem       Date:  2014-04-16       Impact factor: 3.641

10.  Differences between high- and low-affinity complexes of enzymes and nonenzymes.

Authors:  Heather A Carlson; Richard D Smith; Nickolay A Khazanov; Paul D Kirchhoff; James B Dunbar; Mark L Benson
Journal:  J Med Chem       Date:  2008-10-01       Impact factor: 7.446

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