Literature DB >> 28221352

Dynamic undocking and the quasi-bound state as tools for drug discovery.

Sergio Ruiz-Carmona1, Peter Schmidtke2, F Javier Luque1, Lisa Baker3, Natalia Matassova3, Ben Davis3, Stephen Roughley3, James Murray3, Rod Hubbard3,4, Xavier Barril1,5.   

Abstract

There is a pressing need for new technologies that improve the efficacy and efficiency of drug discovery. Structure-based methods have contributed towards this goal but they focus on predicting the binding affinity of protein-ligand complexes, which is notoriously difficult. We adopt an alternative approach that evaluates structural, rather than thermodynamic, stability. As bioactive molecules present a static binding mode, we devised dynamic undocking (DUck), a fast computational method to calculate the work necessary to reach a quasi-bound state at which the ligand has just broken the most important native contact with the receptor. This non-equilibrium property is surprisingly effective in virtual screening because true ligands form more-resilient interactions than decoys. Notably, DUck is orthogonal to docking and other 'thermodynamic' methods. We demonstrate the potential of the docking-undocking combination in a fragment screening against the molecular chaperone and oncology target Hsp90, for which we obtain novel chemotypes and a hit rate that approaches 40%.

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Year:  2016        PMID: 28221352     DOI: 10.1038/nchem.2660

Source DB:  PubMed          Journal:  Nat Chem        ISSN: 1755-4330            Impact factor:   24.427


  32 in total

1.  Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation.

Authors:  Araz Jakalian; David B Jack; Christopher I Bayly
Journal:  J Comput Chem       Date:  2002-12       Impact factor: 3.376

Review 2.  Molecular recognition and docking algorithms.

Authors:  Natasja Brooijmans; Irwin D Kuntz
Journal:  Annu Rev Biophys Biomol Struct       Date:  2003-01-28

3.  Structure-activity relationships in purine-based inhibitor binding to HSP90 isoforms.

Authors:  Lisa Wright; Xavier Barril; Brian Dymock; Louisa Sheridan; Allan Surgenor; Mandy Beswick; Martin Drysdale; Adam Collier; Andy Massey; Nick Davies; Alex Fink; Christophe Fromont; Wynne Aherne; Kathy Boxall; Swee Sharp; Paul Workman; Roderick E Hubbard
Journal:  Chem Biol       Date:  2004-06

4.  Single-molecule pulling simulations can discern active from inactive enzyme inhibitors.

Authors:  Francesco Colizzi; Remo Perozzo; Leonardo Scapozza; Maurizio Recanatini; Andrea Cavalli
Journal:  J Am Chem Soc       Date:  2010-06-02       Impact factor: 15.419

Review 5.  Virtual screening of chemical libraries.

Authors:  Brian K Shoichet
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

6.  Novel binding mode of highly potent HIV-proteinase inhibitors incorporating the (R)-hydroxyethylamine isostere.

Authors:  A Krohn; S Redshaw; J C Ritchie; B J Graves; M H Hatada
Journal:  J Med Chem       Date:  1991-11       Impact factor: 7.446

Review 7.  Targeting bromodomains: epigenetic readers of lysine acetylation.

Authors:  Panagis Filippakopoulos; Stefan Knapp
Journal:  Nat Rev Drug Discov       Date:  2014-04-22       Impact factor: 84.694

Review 8.  Fragment-based lead discovery and design.

Authors:  Diane Joseph-McCarthy; Arthur J Campbell; Gunther Kern; Demetri Moustakas
Journal:  J Chem Inf Model       Date:  2014-02-19       Impact factor: 4.956

9.  Combining hit identification strategies: fragment-based and in silico approaches to orally active 2-aminothieno[2,3-d]pyrimidine inhibitors of the Hsp90 molecular chaperone.

Authors:  Paul A Brough; Xavier Barril; Jenifer Borgognoni; Patrick Chene; Nicholas G M Davies; Ben Davis; Martin J Drysdale; Brian Dymock; Suzanne A Eccles; Carlos Garcia-Echeverria; Christophe Fromont; Angela Hayes; Roderick E Hubbard; Allan M Jordan; Michael Rugaard Jensen; Andrew Massey; Angela Merrett; Antony Padfield; Rachel Parsons; Thomas Radimerski; Florence I Raynaud; Alan Robertson; Stephen D Roughley; Joseph Schoepfer; Heather Simmonite; Swee Y Sharp; Allan Surgenor; Melanie Valenti; Steven Walls; Paul Webb; Mike Wood; Paul Workman; Lisa Wright
Journal:  J Med Chem       Date:  2009-08-13       Impact factor: 7.446

10.  Directory of useful decoys, enhanced (DUD-E): better ligands and decoys for better benchmarking.

Authors:  Michael M Mysinger; Michael Carchia; John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2012-07-05       Impact factor: 7.446

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  22 in total

1.  Docking-undocking combination applied to the D3R Grand Challenge 2015.

Authors:  Sergio Ruiz-Carmona; Xavier Barril
Journal:  J Comput Aided Mol Des       Date:  2016-10-05       Impact factor: 3.686

Review 2.  Selective and Effective: Current Progress in Computational Structure-Based Drug Discovery of Targeted Covalent Inhibitors.

Authors:  Giulia Bianco; David S Goodsell; Stefano Forli
Journal:  Trends Pharmacol Sci       Date:  2020-11-02       Impact factor: 14.819

Review 3.  Kinase inhibitors: the road ahead.

Authors:  Fleur M Ferguson; Nathanael S Gray
Journal:  Nat Rev Drug Discov       Date:  2018-03-16       Impact factor: 84.694

4.  Metadynamics as a Postprocessing Method for Virtual Screening with Application to the Pseudokinase Domain of JAK2.

Authors:  Kara J Cutrona; Ana S Newton; Stefan G Krimmer; Julian Tirado-Rives; William L Jorgensen
Journal:  J Chem Inf Model       Date:  2020-05-27       Impact factor: 4.956

Review 5.  Learning Strategies in Protein Directed Evolution.

Authors:  Xavier F Cadet; Jean Christophe Gelly; Aster van Noord; Frédéric Cadet; Carlos G Acevedo-Rocha
Journal:  Methods Mol Biol       Date:  2022

6.  Development of an Automatic Pipeline for Participation in the CELPP Challenge.

Authors:  Marina Miñarro-Lleonar; Sergio Ruiz-Carmona; Daniel Alvarez-Garcia; Peter Schmidtke; Xavier Barril
Journal:  Int J Mol Sci       Date:  2022-04-26       Impact factor: 6.208

7.  Structural rationale for the cross-resistance of tumor cells bearing the A399V variant of elongation factor eEF1A1 to the structurally unrelated didemnin B, ternatin, nannocystin A and ansatrienin B.

Authors:  Pedro A Sánchez-Murcia; Álvaro Cortés-Cabrera; Federico Gago
Journal:  J Comput Aided Mol Des       Date:  2017-09-12       Impact factor: 3.686

8.  Binding Affinity via Docking: Fact and Fiction.

Authors:  Tatu Pantsar; Antti Poso
Journal:  Molecules       Date:  2018-07-30       Impact factor: 4.411

Review 9.  Dynamic Docking: A Paradigm Shift in Computational Drug Discovery.

Authors:  Dario Gioia; Martina Bertazzo; Maurizio Recanatini; Matteo Masetti; Andrea Cavalli
Journal:  Molecules       Date:  2017-11-22       Impact factor: 4.411

Review 10.  Current perspectives in fragment-based lead discovery (FBLD).

Authors:  Bas Lamoree; Roderick E Hubbard
Journal:  Essays Biochem       Date:  2017-11-08       Impact factor: 8.000

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