Literature DB >> 26957155

Efficient sampling over rough energy landscapes with high barriers: A combination of metadynamics with integrated tempering sampling.

Y Isaac Yang1, Jun Zhang1, Xing Che1, Lijiang Yang1, Yi Qin Gao1.   

Abstract

In order to efficiently overcome high free energy barriers embedded in a complex energy landscape and calculate overall thermodynamics properties using molecular dynamics simulations, we developed and implemented a sampling strategy by combining the metadynamics with (selective) integrated tempering sampling (ITS/SITS) method. The dominant local minima on the potential energy surface (PES) are partially exalted by accumulating history-dependent potentials as in metadynamics, and the sampling over the entire PES is further enhanced by ITS/SITS. With this hybrid method, the simulated system can be rapidly driven across the dominant barrier along selected collective coordinates. Then, ITS/SITS ensures a fast convergence of the sampling over the entire PES and an efficient calculation of the overall thermodynamic properties of the simulation system. To test the accuracy and efficiency of this method, we first benchmarked this method in the calculation of ϕ - ψ distribution of alanine dipeptide in explicit solvent. We further applied it to examine the design of template molecules for aromatic meta-C-H activation in solutions and investigate solution conformations of the nonapeptide Bradykinin involving slow cis-trans isomerizations of three proline residues.

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Year:  2016        PMID: 26957155     DOI: 10.1063/1.4943004

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


  2 in total

1.  Ligand Binding Path Sampling Based on Parallel Cascade Selection Molecular Dynamics: LB-PaCS-MD.

Authors:  Hayato Aida; Yasuteru Shigeta; Ryuhei Harada
Journal:  Materials (Basel)       Date:  2022-02-17       Impact factor: 3.623

2.  Rich Dynamics Underlying Solution Reactions Revealed by Sampling and Data Mining of Reactive Trajectories.

Authors:  Jun Zhang; Zhen Zhang; Yi Isaac Yang; Sirui Liu; Lijiang Yang; Yi Qin Gao
Journal:  ACS Cent Sci       Date:  2017-04-15       Impact factor: 14.553

  2 in total

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