Literature DB >> 18653760

Application of a polarizable force field to calculations of relative protein-ligand binding affinities.

Oleg Khoruzhii1, Alexander G Donchev, Nikolay Galkin, Alexei Illarionov, Mikhail Olevanov, Vladimir Ozrin, Cary Queen, Vladimir Tarasov.   

Abstract

An explicitly polarizable force field based exclusively on quantum data is applied to calculations of relative binding affinities of ligands to proteins. Five ligands, differing by replacement of an atom or functional group, in complexes with three serine proteases-trypsin, thrombin, and urokinase-type plasminogen activator-with available experimental binding data are used as test systems. A special protocol of thermodynamic integration was developed and used to provide sufficiently low levels of systematic error along with high numerical efficiency and statistical stability. The calculated results are in excellent quantitative (rmsd = 1.0 kcal/mol) and qualitative (R(2) = 0.90) agreement with experimental data. The potential of the methodology to explain the observed differences in the ligand affinities is also demonstrated.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18653760      PMCID: PMC2492491          DOI: 10.1073/pnas.0803847105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  30 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Computational binding studies of human pp60c-src SH2 domain with a series of nonpeptide, phosphophenyl-containing ligands.

Authors:  D J Price; W L Jorgensen
Journal:  Bioorg Med Chem Lett       Date:  2000-09-18       Impact factor: 2.823

3.  Non-Boltzmann thermodynamic integration (NBTI) for macromolecular systems: relative free energy of binding of trypsin to benzamidine and benzylamine.

Authors:  N Ota; C Stroupe; J M Ferreira-da-Silva; S A Shah; M Mares-Guia; A T Brunger
Journal:  Proteins       Date:  1999-12-01

Review 4.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

5.  Alchemical free energy calculations and multiple conformational substates.

Authors:  Martin Leitgeb; Christian Schröder; Stefan Boresch
Journal:  J Chem Phys       Date:  2005-02-22       Impact factor: 3.488

Review 6.  Enhancing the accuracy, the efficiency and the scope of free energy simulations.

Authors:  Tomas Rodinger; Régis Pomès
Journal:  Curr Opin Struct Biol       Date:  2005-04       Impact factor: 6.809

7.  On the use of orientational restraints and symmetry corrections in alchemical free energy calculations.

Authors:  David L Mobley; John D Chodera; Ken A Dill
Journal:  J Chem Phys       Date:  2006-08-28       Impact factor: 3.488

8.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

9.  Calculation of relative binding free energy differences for fructose 1,6-bisphosphatase inhibitors using the thermodynamic cycle perturbation approach.

Authors:  M R Reddy; M D Erion
Journal:  J Am Chem Soc       Date:  2001-07-04       Impact factor: 15.419

10.  CHARMM fluctuating charge force field for proteins: I parameterization and application to bulk organic liquid simulations.

Authors:  Sandeep Patel; Charles L Brooks
Journal:  J Comput Chem       Date:  2004-01-15       Impact factor: 3.376

View more
  8 in total

Review 1.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

2.  Biomacromolecular quantitative structure-activity relationship (BioQSAR): a proof-of-concept study on the modeling, prediction and interpretation of protein-protein binding affinity.

Authors:  Peng Zhou; Congcong Wang; Feifei Tian; Yanrong Ren; Chao Yang; Jian Huang
Journal:  J Comput Aided Mol Des       Date:  2013-01-10       Impact factor: 3.686

3.  Prediction of cyclohexane-water distribution coefficient for SAMPL5 drug-like compounds with the QMPFF3 and ARROW polarizable force fields.

Authors:  Ganesh Kamath; Igor Kurnikov; Boris Fain; Igor Leontyev; Alexey Illarionov; Oleg Butin; Michael Olevanov; Leonid Pereyaslavets
Journal:  J Comput Aided Mol Des       Date:  2016-09-01       Impact factor: 3.686

4.  Solvation properties of N-acetyl-β-glucosamine: molecular dynamics study incorporating electrostatic polarization.

Authors:  Yang Zhong; Brad A Bauer; Sandeep Patel
Journal:  J Comput Chem       Date:  2011-09-07       Impact factor: 3.376

5.  Molecular simulations of ion channels: a quantum chemist's perspective.

Authors:  Denis Bucher; Ursula Rothlisberger
Journal:  J Gen Physiol       Date:  2010-06       Impact factor: 4.086

6.  Trypsin-ligand binding free energies from explicit and implicit solvent simulations with polarizable potential.

Authors:  Dian Jiao; Jiajing Zhang; Robert E Duke; Guohui Li; Michael J Schnieders; Pengyu Ren
Journal:  J Comput Chem       Date:  2009-08       Impact factor: 3.376

7.  The future of molecular dynamics simulations in drug discovery.

Authors:  David W Borhani; David E Shaw
Journal:  J Comput Aided Mol Des       Date:  2011-12-20       Impact factor: 3.686

8.  Current and emerging opportunities for molecular simulations in structure-based drug design.

Authors:  Julien Michel
Journal:  Phys Chem Chem Phys       Date:  2014-03-14       Impact factor: 3.676

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.