Literature DB >> 27159059

Adaptive Multilevel Splitting Method for Molecular Dynamics Calculation of Benzamidine-Trypsin Dissociation Time.

Ivan Teo1,2, Christopher G Mayne1, Klaus Schulten1,2, Tony Lelièvre3.   

Abstract

Adaptive multilevel splitting (AMS) is a rare event sampling method that requires minimal parameter tuning and allows unbiased sampling of transition pathways of a given rare event. Previous simulation studies have verified the efficiency and accuracy of AMS in the calculation of transition times for simple systems in both Monte Carlo and molecular dynamics (MD) simulations. Now, AMS is applied for the first time to an MD simulation of protein-ligand dissociation, representing a leap in complexity from the previous test cases. Of interest is the dissociation rate, which is typically too low to be accessible to conventional MD. The present study joins other recent efforts to develop advanced sampling techniques in MD to calculate dissociation rates, which are gaining importance in the pharmaceutical field as indicators of drug efficacy. The system investigated here, benzamidine bound to trypsin, is an example common to many of these efforts. The AMS estimate of the dissociation rate was found to be (2.6 ± 2.4) × 10(2) s(-1), which compares well with the experimental value.

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Year:  2016        PMID: 27159059      PMCID: PMC5724379          DOI: 10.1021/acs.jctc.6b00277

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  23 in total

1.  Functional efficacy of adenosine A₂A receptor agonists is positively correlated to their receptor residence time.

Authors:  Dong Guo; Thea Mulder-Krieger; Adriaan P IJzerman; Laura H Heitman
Journal:  Br J Pharmacol       Date:  2012-07       Impact factor: 8.739

2.  ADAPTIVE MULTILEVEL SPLITTING IN MOLECULAR DYNAMICS SIMULATIONS.

Authors:  David Aristoff; Tony Lelièvre; Christopher G Mayne; Ivan Teo
Journal:  ESAIM Proc Surv       Date:  2015-01

3.  Forward flux sampling for rare event simulations.

Authors:  Rosalind J Allen; Chantal Valeriani; Pieter Rein Ten Wolde
Journal:  J Phys Condens Matter       Date:  2009-10-26       Impact factor: 2.333

4.  Enzyme-inhibitor association thermodynamics: explicit and continuum solvent studies.

Authors:  H Resat; T J Marrone; J A McCammon
Journal:  Biophys J       Date:  1997-02       Impact factor: 4.033

5.  High-performance scalable molecular dynamics simulations of a polarizable force field based on classical Drude oscillators in NAMD.

Authors:  Wei Jiang; David J Hardy; James C Phillips; Alexander D Mackerell; Klaus Schulten; Benoît Roux
Journal:  J Phys Chem Lett       Date:  2011       Impact factor: 6.475

6.  The use of proflavin as an indicator in temperature-jump studies of the binding of a competitive inhibitor to trypsin.

Authors:  F Guillain; D Thusius
Journal:  J Am Chem Soc       Date:  1970-09-09       Impact factor: 15.419

7.  CHARMM36 all-atom additive protein force field: validation based on comparison to NMR data.

Authors:  Jing Huang; Alexander D MacKerell
Journal:  J Comput Chem       Date:  2013-07-06       Impact factor: 3.376

8.  Computing ensembles of transitions from stable states: Dynamic importance sampling.

Authors:  Juan R Perilla; Oliver Beckstein; Elizabeth J Denning; Thomas B Woolf
Journal:  J Comput Chem       Date:  2011-01-30       Impact factor: 3.376

9.  Slow-onset inhibition of the FabI enoyl reductase from francisella tularensis: residence time and in vivo activity.

Authors:  Hao Lu; Kathleen England; Christopher am Ende; James J Truglio; Sylvia Luckner; B Gopal Reddy; Nicole L Marlenee; Susan E Knudson; Dennis L Knudson; Richard A Bowen; Caroline Kisker; Richard A Slayden; Peter J Tonge
Journal:  ACS Chem Biol       Date:  2009-03-20       Impact factor: 5.100

10.  Protein conformational plasticity and complex ligand-binding kinetics explored by atomistic simulations and Markov models.

Authors:  Nuria Plattner; Frank Noé
Journal:  Nat Commun       Date:  2015-07-02       Impact factor: 14.919

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  22 in total

1.  SEEKR: Simulation Enabled Estimation of Kinetic Rates, A Computational Tool to Estimate Molecular Kinetics and Its Application to Trypsin-Benzamidine Binding.

Authors:  Lane W Votapka; Benjamin R Jagger; Alexandra L Heyneman; Rommie E Amaro
Journal:  J Phys Chem B       Date:  2017-03-03       Impact factor: 2.991

2.  Interactive molecular dynamics in virtual reality for accurate flexible protein-ligand docking.

Authors:  Helen M Deeks; Rebecca K Walters; Stephanie R Hare; Michael B O'Connor; Adrian J Mulholland; David R Glowacki
Journal:  PLoS One       Date:  2020-03-11       Impact factor: 3.240

3.  Multiple Ligand Unbinding Pathways and Ligand-Induced Destabilization Revealed by WExplore.

Authors:  Alex Dickson; Samuel D Lotz
Journal:  Biophys J       Date:  2017-02-28       Impact factor: 4.033

Review 4.  Protein-ligand (un)binding kinetics as a new paradigm for drug discovery at the crossroad between experiments and modelling.

Authors:  M Bernetti; A Cavalli; L Mollica
Journal:  Medchemcomm       Date:  2017-01-30       Impact factor: 3.597

5.  Predicting ligand binding affinity using on- and off-rates for the SAMPL6 SAMPLing challenge.

Authors:  Tom Dixon; Samuel D Lotz; Alex Dickson
Journal:  J Comput Aided Mol Des       Date:  2018-08-23       Impact factor: 3.686

6.  How wet should be the reaction coordinate for ligand unbinding?

Authors:  Pratyush Tiwary; B J Berne
Journal:  J Chem Phys       Date:  2016-08-07       Impact factor: 3.488

7.  Scalable molecular dynamics on CPU and GPU architectures with NAMD.

Authors:  James C Phillips; David J Hardy; Julio D C Maia; John E Stone; João V Ribeiro; Rafael C Bernardi; Ronak Buch; Giacomo Fiorin; Jérôme Hénin; Wei Jiang; Ryan McGreevy; Marcelo C R Melo; Brian K Radak; Robert D Skeel; Abhishek Singharoy; Yi Wang; Benoît Roux; Aleksei Aksimentiev; Zaida Luthey-Schulten; Laxmikant V Kalé; Klaus Schulten; Christophe Chipot; Emad Tajkhorshid
Journal:  J Chem Phys       Date:  2020-07-28       Impact factor: 3.488

Review 8.  Path-sampling strategies for simulating rare events in biomolecular systems.

Authors:  Lillian T Chong; Ali S Saglam; Daniel M Zuckerman
Journal:  Curr Opin Struct Biol       Date:  2016-12-13       Impact factor: 6.809

9.  Escape of a Small Molecule from Inside T4 Lysozyme by Multiple Pathways.

Authors:  Ariane Nunes-Alves; Daniel M Zuckerman; Guilherme Menegon Arantes
Journal:  Biophys J       Date:  2018-03-13       Impact factor: 4.033

10.  Efficient Atomistic Simulation of Pathways and Calculation of Rate Constants for a Protein-Peptide Binding Process: Application to the MDM2 Protein and an Intrinsically Disordered p53 Peptide.

Authors:  Matthew C Zwier; Adam J Pratt; Joshua L Adelman; Joseph W Kaus; Daniel M Zuckerman; Lillian T Chong
Journal:  J Phys Chem Lett       Date:  2016-08-22       Impact factor: 6.475

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