Efficient sampling over rough energy landscapes with high barriers: A combination of metadynamics with integrated tempering sampling
In: EI ; SCI ; PubMed, 2016
Online
academicJournal
Zugriff:
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 phi - psi 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. (C) 2016 AIP Publishing LLC. ; National Program on Key Basic Research Project (973 Program) [2012CB917304]; Natural Science Foundation of China [91027044, 21125311] ; SCI(E) ; EI ; PubMed ; ARTICLE ; gaoyq@pku.edu.cn ; 9 ; 094105 ; 144
Titel: |
Efficient sampling over rough energy landscapes with high barriers: A combination of metadynamics with integrated tempering sampling
|
---|---|
Autor/in / Beteiligte Person: | Yang, Y. Isaac ; Zhang, Jun ; Che, Xing ; Yang, Lijiang ; Gao, Yi Qin ; Gao, YQ (reprint author), Peking Univ, Coll Chem & Mol Engn, Inst Theoret & Computat Chem, Beijing 100871, Peoples R China. ; Gao, YQ (reprint author), Peking Univ, Biodynam Opt Imaging Ctr, Beijing 100871, Peoples R China. ; Peking Univ, Coll Chem & Mol Engn, Inst Theoret & Computat Chem, Beijing 100871, Peoples R China. ; Peking Univ, Biodynam Opt Imaging Ctr, Beijing 100871, Peoples R China. |
Link: | |
Zeitschrift: | EI ; SCI ; PubMed, 2016 |
Veröffentlichung: | JOURNAL OF CHEMICAL PHYSICS, 2016 |
Medientyp: | academicJournal |
ISSN: | 0021-9606 (print) ; 1089-7690 (print) |
DOI: | 10.1063/1.4943004 |
Schlagwort: |
|
Sonstiges: |
|