Literature DB >> 20192224

Fragment-based deconstruction of Bcl-xL inhibitors.

Sarah Barelier1, Julien Pons, Olivier Marcillat, Jean-Marc Lancelin, Isabelle Krimm.   

Abstract

Fragment-based drug design consists of screening low-molecular-weight compounds in order to identify low-affinity ligands that are then modified or linked to yield potent inhibitors. The method thus attempts to build bioactive molecules in a modular way and relies on the hypothesis that the fragment binding mode will be conserved upon elaboration of the active molecule. If the inverse process is considered, do the fragments resulting from the deconstruction of high-affinity inhibitors recapitulate their binding mode in the large molecule? Few studies deal with this issue. Here, we report the analysis of 22 fragments resulting from the dissection of 9 inhibitors of the antiapoptotic protein Bcl-x(L). To determine if the fragments retained affinity toward the protein and identify their binding site, ligand-observed and protein-observed NMR experiments were used. The analysis of the fragments behavior illustrates the complexity of low-affinity protein-ligand interactions involved in the fragment-based construction of bioactive molecules.

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Year:  2010        PMID: 20192224     DOI: 10.1021/jm100009z

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


  21 in total

1.  Biosensor-based small molecule fragment screening with biolayer interferometry.

Authors:  Charles A Wartchow; Frank Podlaski; Shirley Li; Karen Rowan; Xiaolei Zhang; David Mark; Kuo-Sen Huang
Journal:  J Comput Aided Mol Des       Date:  2011-06-10       Impact factor: 3.686

Review 2.  Evolutions in fragment-based drug design: the deconstruction-reconstruction approach.

Authors:  Haijun Chen; Xiaobin Zhou; Ailan Wang; Yunquan Zheng; Yu Gao; Jia Zhou
Journal:  Drug Discov Today       Date:  2014-09-27       Impact factor: 7.851

3.  Ligand deconstruction: Why some fragment binding positions are conserved and others are not.

Authors:  Dima Kozakov; David R Hall; Stefan Jehle; Sefan Jehle; Lingqi Luo; Stefan O Ochiana; Elizabeth V Jones; Michael Pollastri; Karen N Allen; Adrian Whitty; Sandor Vajda
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-27       Impact factor: 11.205

4.  Fragment-guided design of subnanomolar β-lactamase inhibitors active in vivo.

Authors:  Oliv Eidam; Chiara Romagnoli; Guillaume Dalmasso; Sarah Barelier; Emilia Caselli; Richard Bonnet; Brian K Shoichet; Fabio Prati
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-05       Impact factor: 11.205

5.  Deconstruction of a nutlin: dissecting the binding determinants of a potent protein-protein interaction inhibitor.

Authors:  David C Fry; Charles Wartchow; Bradford Graves; Cheryl Janson; Christine Lukacs; Ursula Kammlott; Charles Belunis; Stefan Palme; Christian Klein; Binh Vu
Journal:  ACS Med Chem Lett       Date:  2013-05-24       Impact factor: 4.345

Review 6.  Small molecules, big targets: drug discovery faces the protein-protein interaction challenge.

Authors:  Duncan E Scott; Andrew R Bayly; Chris Abell; John Skidmore
Journal:  Nat Rev Drug Discov       Date:  2016-04-11       Impact factor: 84.694

7.  When Does Chemical Elaboration Induce a Ligand To Change Its Binding Mode?

Authors:  Shipra Malhotra; John Karanicolas
Journal:  J Med Chem       Date:  2016-12-16       Impact factor: 7.446

8.  Dissecting fragment-based lead discovery at the von Hippel-Lindau protein:hypoxia inducible factor 1α protein-protein interface.

Authors:  Inge Van Molle; Andreas Thomann; Dennis L Buckley; Ernest C So; Steffen Lang; Craig M Crews; Alessio Ciulli
Journal:  Chem Biol       Date:  2012-10-26

9.  New Frontiers in Druggability.

Authors:  Dima Kozakov; David R Hall; Raeanne L Napoleon; Christine Yueh; Adrian Whitty; Sandor Vajda
Journal:  J Med Chem       Date:  2015-08-11       Impact factor: 7.446

Review 10.  Lessons from Hot Spot Analysis for Fragment-Based Drug Discovery.

Authors:  David R Hall; Dima Kozakov; Adrian Whitty; Sandor Vajda
Journal:  Trends Pharmacol Sci       Date:  2015-11-01       Impact factor: 14.819

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