Literature DB >> 26596291

Extracting Realistic Kinetics of Rare Activated Processes from Accelerated Molecular Dynamics Using Kramers' Theory.

Urmi Doshi1, Donald Hamelberg1.   

Abstract

The cis-trans isomerization of peptide bonds is very slow, occurring in hundreds of seconds. Kinetic studies of such processes using straightforward molecular dynamics are currently not possible. Here, we use Kramers' rate theory in the high friction regime in combination with accelerated molecular dynamics in explicit solvent to successfully retrieve the normal rate of cis to trans switching in the glycyl-prolyl dipeptide. Our approach bypasses the time-reweighting problem of the hyperdynamics scheme, wherein the addition of the bias potential alters the transition state regions and avoids an accurate estimation of kinetics. By performing accelerated molecular dynamics at a few different levels of acceleration, the rate of isomerization is enhanced as much as 10(10) to 10(11) times. Remarkably, the normal rates obtained by simply extrapolating to zero bias are within an order of experimental estimates. This provides validation from a kinetic standpoint of the ω torsional parameters of the AMBER force field that were recently revised by matching to experimentally measured equilibrium properties. We also provide a comparative analysis of the performance of the widely used water models, i.e., TIP3P and SPC/E, in estimating the kinetics of cis-trans isomerization. Furthermore, we show that the dynamic properties of bulk water can be corrected by adjusting the collision frequency in a Langevin thermostat, which then allows for better reproduction of cis-trans isomerization kinetics and a closer agreement of rates between experiments and simulations.

Entities:  

Year:  2011        PMID: 26596291     DOI: 10.1021/ct1005399

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


  6 in total

1.  Resolving the complex role of enzyme conformational dynamics in catalytic function.

Authors:  Urmi Doshi; Lauren C McGowan; Safieh Tork Ladani; Donald Hamelberg
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-26       Impact factor: 11.205

2.  Dynamics of nuclear receptor Helix-12 switch of transcription activation by modeling time-resolved fluorescence anisotropy decays.

Authors:  Mariana R B Batista; Leandro Martínez
Journal:  Biophys J       Date:  2013-10-01       Impact factor: 4.033

3.  Peptide Gaussian accelerated molecular dynamics (Pep-GaMD): Enhanced sampling and free energy and kinetics calculations of peptide binding.

Authors:  Jinan Wang; Yinglong Miao
Journal:  J Chem Phys       Date:  2020-10-21       Impact factor: 3.488

4.  Enhanced Lipid Diffusion and Mixing in Accelerated Molecular Dynamics.

Authors:  Yi Wang; Phineus R L Markwick; César Augusto F de Oliveira; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2011-08-24       Impact factor: 6.006

5.  Acceleration of biomolecular kinetics in Gaussian accelerated molecular dynamics.

Authors:  Yinglong Miao
Journal:  J Chem Phys       Date:  2018-08-21       Impact factor: 3.488

6.  Ligand Gaussian Accelerated Molecular Dynamics (LiGaMD): Characterization of Ligand Binding Thermodynamics and Kinetics.

Authors:  Yinglong Miao; Apurba Bhattarai; Jinan Wang
Journal:  J Chem Theory Comput       Date:  2020-08-07       Impact factor: 6.006

  6 in total

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