Literature DB >> 23913991

Efficient and Unbiased Sampling of Biomolecular Systems in the Canonical Ensemble: A Review of Self-Guided Langevin Dynamics.

Xiongwu Wu1, Ana Damjanovic, Bernard R Brooks.   

Abstract

This review provides a comprehensive description of the self-guided Langevin dynamics (SGLD) and the self-guided molecular dynamics (SGMD) methods and their applications. Example systems are included to provide guidance on optimal application of these methods in simulation studies. SGMD/SGLD has enhanced ability to overcome energy barriers and accelerate rare events to affordable time scales. It has been demonstrated that with moderate parameters, SGLD can routinely cross energy barriers of 20 kT at a rate that molecular dynamics (MD) or Langevin dynamics (LD) crosses 10 kT barriers. The core of these methods is the use of local averages of forces and momenta in a direct manner that can preserve the canonical ensemble. The use of such local averages results in methods where low frequency motion "borrows" energy from high frequency degrees of freedom when a barrier is approached and then returns that excess energy after a barrier is crossed. This self-guiding effect also results in an accelerated diffusion to enhance conformational sampling efficiency. The resulting ensemble with SGLD deviates in a small way from the canonical ensemble, and that deviation can be corrected with either an on-the-fly or a post processing reweighting procedure that provides an excellent canonical ensemble for systems with a limited number of accelerated degrees of freedom. Since reweighting procedures are generally not size extensive, a newer method, SGLDfp, uses local averages of both momenta and forces to preserve the ensemble without reweighting. The SGLDfp approach is size extensive and can be used to accelerate low frequency motion in large systems, or in systems with explicit solvent where solvent diffusion is also to be enhanced. Since these methods are direct and straightforward, they can be used in conjunction with many other sampling methods or free energy methods by simply replacing the integration of degrees of freedom that are normally sampled by MD or LD.

Entities:  

Year:  2012        PMID: 23913991      PMCID: PMC3731171          DOI: 10.1002/9781118197714.ch6

Source DB:  PubMed          Journal:  Adv Chem Phys        ISSN: 0065-2385            Impact factor:   1.000


  58 in total

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Authors:  Wataru Shinoda; Masuhiro Mikami
Journal:  J Comput Chem       Date:  2003-06       Impact factor: 3.376

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Authors:  Jean-Loup Faulon; Ken Sale; Malin Young
Journal:  Protein Sci       Date:  2003-08       Impact factor: 6.725

4.  Beta-hairpin folding mechanism of a nine-residue peptide revealed from molecular dynamics simulations in explicit water.

Authors:  Xiongwu Wu; Bernard R Brooks
Journal:  Biophys J       Date:  2004-04       Impact factor: 4.033

Review 5.  Conformational sampling for the impatient.

Authors:  Kaihsu Tai
Journal:  Biophys Chem       Date:  2004-02-15       Impact factor: 2.352

6.  An approximate method in using molecular mechanics simulations to study slow protein conformational changes.

Authors:  Lijiang Yang; Yi Qin Gao
Journal:  J Phys Chem B       Date:  2007-02-24       Impact factor: 2.991

7.  Simultaneous escaping of explicit and hidden free energy barriers: application of the orthogonal space random walk strategy in generalized ensemble based conformational sampling.

Authors:  Lianqing Zheng; Mengen Chen; Wei Yang
Journal:  J Chem Phys       Date:  2009-06-21       Impact factor: 3.488

8.  Open science grid study of the coupling between conformation and water content in the interior of a protein.

Authors:  Ana Damjanović; Benjamin T Miller; Torre J Wenaus; Petar Maksimović; Bertrand García-Moreno E; Bernard R Brooks
Journal:  J Chem Inf Model       Date:  2008-10-04       Impact factor: 4.956

9.  Exhaustive conformational search and simulated annealing for models of lattice peptides.

Authors:  R C Brower; G Vasmatzis; M Silverman; C Delisi
Journal:  Biopolymers       Date:  1993-03       Impact factor: 2.505

10.  Nanosecond time scale folding dynamics of a pentapeptide in water.

Authors:  D J Tobias; J E Mertz; C L Brooks
Journal:  Biochemistry       Date:  1991-06-18       Impact factor: 3.162

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  22 in total

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Authors:  Maria T Panteva; Thakshila Dissanayake; Haoyuan Chen; Brian K Radak; Erich R Kuechler; George M Giambaşu; Tai-Sung Lee; Darrin M York
Journal:  Methods Enzymol       Date:  2015-01-22       Impact factor: 1.600

2.  Replica exchanging self-guided Langevin dynamics for efficient and accurate conformational sampling.

Authors:  Xiongwu Wu; Milan Hodoscek; Bernard R Brooks
Journal:  J Chem Phys       Date:  2012-07-28       Impact factor: 3.488

3.  Roadmaps through free energy landscapes calculated using the multi-dimensional vFEP approach.

Authors:  Tai-Sung Lee; Brian K Radak; Ming Huang; Kin-Yiu Wong; Darrin M York
Journal:  J Chem Theory Comput       Date:  2014-01-14       Impact factor: 6.006

4.  Reformulation of the self-guided molecular simulation method.

Authors:  Xiongwu Wu; Bernard R Brooks
Journal:  J Chem Phys       Date:  2020-09-07       Impact factor: 3.488

5.  Structural approaches for the DNA binding motifs prediction in Bacillus thuringiensis sigma-E transcription factor (σETF).

Authors:  Yee Ying Lim; Theam Soon Lim; Yee Siew Choong
Journal:  J Mol Model       Date:  2019-09-05       Impact factor: 1.810

6.  Molecular dynamics simulations of lipid nanodiscs.

Authors:  Mohsen Pourmousa; Richard W Pastor
Journal:  Biochim Biophys Acta Biomembr       Date:  2018-05-03       Impact factor: 3.747

7.  A New Maximum Likelihood Approach for Free Energy Profile Construction from Molecular Simulations.

Authors:  Tai-Sung Lee; Brian K Radak; Anna Pabis; Darrin M York
Journal:  J Chem Theory Comput       Date:  2012-12-12       Impact factor: 6.006

8.  Understanding the basis of a class of paradoxical mutations in AraC through simulations.

Authors:  Ana Damjanovic; Benjamin T Miller; Robert Schleif
Journal:  Proteins       Date:  2012-12-24

9.  Unconstrained Enhanced Sampling for Free Energy Calculations of Biomolecules: A Review.

Authors:  Yinglong Miao; J Andrew McCammon
Journal:  Mol Simul       Date:  2016-07-05       Impact factor: 2.178

10.  Targeted conformational search with map-restrained self-guided Langevin dynamics: application to flexible fitting into electron microscopic density maps.

Authors:  Xiongwu Wu; Sriram Subramaniam; David A Case; Katherine W Wu; Bernard R Brooks
Journal:  J Struct Biol       Date:  2013-07-20       Impact factor: 2.867

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