Literature DB >> 23640428

Effect of pH and ligand charge state on BACE-1 fragment docking performance.

José L Domínguez1, M Carmen Villaverde, Fredy Sussman.   

Abstract

In this work we propose a protocol for estimating the effect of pH on the docking performance to BACE-1, which affords the charge state of the inhibitor as well as the protonation state of all ionisable residues in the protein at a given pH value. To the best of our knowledge, this is the first report of a protocol predicting the BACE-1 ligand docking poses not only at the neutral pH at which most crystallographic structures were obtained, but also at the optimal pH of the enzyme (in the acidic range), at which most of the BACE-1 binding affinity assays are performed. We have applied this protocol to a set of 23 fragment-like BACE-1 ligands that span four orders of magnitude in their binding affinities. The pK a values of the BACE-1 acidic residues deviate substantially from the estimates for model compounds in solution and display a ligand dependent variability, especially in the case of the catalytic Asp dyad residues. This outcome should have a strong bearing on the design of protocols for docking based BACE-1 screening campaigns. Finally, we were able to find an explanation for the poor docking success rate of some fragments based on the availability of anchoring points, a rationale that could help to improve hit rates in BACE-1 screening campaigns.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23640428     DOI: 10.1007/s10822-013-9653-7

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  32 in total

1.  In silico discovery of beta-secretase inhibitors.

Authors:  Danzhi Huang; Urs Lüthi; Peter Kolb; Marco Cecchini; Alcide Barberis; Amedeo Caflisch
Journal:  J Am Chem Soc       Date:  2006-04-26       Impact factor: 15.419

2.  Rescoring docking hit lists for model cavity sites: predictions and experimental testing.

Authors:  Alan P Graves; Devleena M Shivakumar; Sarah E Boyce; Matthew P Jacobson; David A Case; Brian K Shoichet
Journal:  J Mol Biol       Date:  2008-01-30       Impact factor: 5.469

3.  QM/MM as a tool in fragment based drug discovery. A cross-docking, rescoring study of kinase inhibitors.

Authors:  M Paul Gleeson; Duangkamol Gleeson
Journal:  J Chem Inf Model       Date:  2009-06       Impact factor: 4.956

4.  Discovery of aminoheterocycles as a novel beta-secretase inhibitor class: pH dependence on binding activity part 1.

Authors:  Shawn J Stachel; Craig A Coburn; Diane Rush; Kristen L G Jones; Hong Zhu; Hemaka Rajapakse; Samuel L Graham; Adam Simon; M Katharine Holloway; Tim J Allison; Sanjeev K Munshi; Amy S Espeseth; Paul Zuck; Dennis Colussi; Abigail Wolfe; Beth L Pietrak; Ming-Tain Lai; Joseph P Vacca
Journal:  Bioorg Med Chem Lett       Date:  2009-04-18       Impact factor: 2.823

5.  Docking performance of fragments and druglike compounds.

Authors:  Marcel L Verdonk; Ilenia Giangreco; Richard J Hall; Oliver Korb; Paul N Mortenson; Christopher W Murray
Journal:  J Med Chem       Date:  2011-07-06       Impact factor: 7.446

6.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

7.  Development and validation of a genetic algorithm for flexible docking.

Authors:  G Jones; P Willett; R C Glen; A R Leach; R Taylor
Journal:  J Mol Biol       Date:  1997-04-04       Impact factor: 5.469

8.  Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation.

Authors:  G Jones; P Willett; R C Glen
Journal:  J Mol Biol       Date:  1995-01-06       Impact factor: 5.469

9.  Application of fragment screening by X-ray crystallography to beta-secretase.

Authors:  Christopher W Murray; Owen Callaghan; Gianni Chessari; Anne Cleasby; Miles Congreve; Martyn Frederickson; Michael J Hartshorn; Rachel McMenamin; Sahil Patel; Nicola Wallis
Journal:  J Med Chem       Date:  2007-02-22       Impact factor: 7.446

10.  Generalized born model with a simple smoothing function.

Authors:  Wonpil Im; Michael S Lee; Charles L Brooks
Journal:  J Comput Chem       Date:  2003-11-15       Impact factor: 3.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.