Literature DB >> 16626249

Dynamic coupling between coordinates in a model for biomolecular isomerization.

Ao Ma1, Ambarish Nag, Aaron R Dinner.   

Abstract

To understand a complex reaction, it is necessary to project the dynamics of the system onto a low-dimensional subspace of physically meaningful coordinates. We recently introduced an automatic method for identifying coordinates that relate closely to stable-state commitment probabilities and successfully applied it to a model for biomolecular isomerization, the C(7eq)-->alpha(R) transition of the alanine dipeptide [A. Ma and A. R. Dinner, J. Phys. Chem. B 109, 6769 (2005)]. Here, we explore approximate means for estimating diffusion tensors for systems subject to restraints in one and two dimensions and then use the results together with an extension of Kramers theory for unimolecular reaction rates [A. Berezhkovskii and A. Szabo, J. Chem. Phys. 122, 014503 (2005)] to show explicitly that both the potential of mean force and the diffusion tensor are essential for describing the dynamics of the alanine dipeptide quantitatively. In particular, the signficance of off-diagonal elements of the diffusion tensor suggests that the coordinates of interest are coupled by the hydrodynamic-like response of the bath of remaining degrees of freedom.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16626249     DOI: 10.1063/1.2183768

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  8 in total

1.  A two-step nucleotide-flipping mechanism enables kinetic discrimination of DNA lesions by AGT.

Authors:  Jie Hu; Ao Ma; Aaron R Dinner
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-19       Impact factor: 11.205

Review 2.  CHARMM: the biomolecular simulation program.

Authors:  B R Brooks; C L Brooks; A D Mackerell; L Nilsson; R J Petrella; B Roux; Y Won; G Archontis; C Bartels; S Boresch; A Caflisch; L Caves; Q Cui; A R Dinner; M Feig; S Fischer; J Gao; M Hodoscek; W Im; K Kuczera; T Lazaridis; J Ma; V Ovchinnikov; E Paci; R W Pastor; C B Post; J Z Pu; M Schaefer; B Tidor; R M Venable; H L Woodcock; X Wu; W Yang; D M York; M Karplus
Journal:  J Comput Chem       Date:  2009-07-30       Impact factor: 3.376

3.  An experimentally guided umbrella sampling protocol for biomolecules.

Authors:  Maria Mills; Ioan Andricioaei
Journal:  J Chem Phys       Date:  2008-09-21       Impact factor: 3.488

4.  Using stochastic models calibrated from nanosecond nonequilibrium simulations to approximate mesoscale information.

Authors:  Christopher P Calderon; Lorant Janosi; Ioan Kosztin
Journal:  J Chem Phys       Date:  2009-04-14       Impact factor: 3.488

5.  Bayesian comparison of Markov models of molecular dynamics with detailed balance constraint.

Authors:  Sergio Bacallado; John D Chodera; Vijay Pande
Journal:  J Chem Phys       Date:  2009-07-28       Impact factor: 3.488

6.  Galerkin approximation of dynamical quantities using trajectory data.

Authors:  Erik H Thiede; Dimitrios Giannakis; Aaron R Dinner; Jonathan Weare
Journal:  J Chem Phys       Date:  2019-06-28       Impact factor: 3.488

7.  Kinetics of Phenol Escape from the Insulin R6 Hexamer.

Authors:  Adam Antoszewski; Chatipat Lorpaiboon; John Strahan; Aaron R Dinner
Journal:  J Phys Chem B       Date:  2021-10-14       Impact factor: 2.991

8.  Recent developments in methods for identifying reaction coordinates.

Authors:  Wenjin Li; Ao Ma
Journal:  Mol Simul       Date:  2014       Impact factor: 2.178

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.