Evidence map›Paper›PMID 26827207›Full record

ArticleThe Journal of chemical physics2016

Overcoming potential energy distortions in constrained internal coordinate molecular dynamics simulations.

Saugat Kandel, Romelia Salomon-Ferrer, Adrien B Larsen, Abhinandan Jain, Nagarajan Vaidehi

Abstract read
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Article in The Journal of chemical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Saugat KandelDivision of Immunology, Beckman Research Institute of the City of Hope, Duarte, California 91010, USA.
Romelia Salomon-FerrerDivision of Immunology, Beckman Research Institute of the City of Hope, Duarte, California 91010, USA.
Adrien B LarsenDivision of Immunology, Beckman Research Institute of the City of Hope, Duarte, California 91010, USA.
Abhinandan JainJet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, California 91109, USA.
Nagarajan VaidehiDivision of Immunology, Beckman Research Institute of the City of Hope, Duarte, California 91010, USA.

Funding

GNEIMO: Generalized Internal Coordinate Molecular Dynamics MethodsR01GM082896 · NIGMS · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI VAIDEHI, NAGARAJAN · 2008 to 2011
$1.2M
NIGMS NIH HHS R01 GM082896NIGMS NIH HHS R01GM082896
6 · The paper itself

Abstract

The Internal Coordinate Molecular Dynamics (ICMD) method is an attractive molecular dynamics (MD) method for studying the dynamics of bonded systems such as proteins and polymers. It offers a simple venue for coarsening the dynamics model of a system at multiple hierarchical levels. For example, large scale protein dynamics can be studied using torsional dynamics, where large domains or helical structures can be treated as rigid bodies and the loops connecting them as flexible torsions. ICMD with such a dynamic model of the protein, combined with enhanced conformational sampling method such as temperature replica exchange, allows the sampling of large scale domain motion involving high energy barrier transitions. Once these large scale conformational transitions are sampled, all-torsion, or even all-atom, MD simulations can be carried out for the low energy conformations sampled via coarse grained ICMD to calculate the energetics of distinct conformations. Such hierarchical MD simulations can be carried out with standard all-atom forcefields without the need for compromising on the accuracy of the forces. Using constraints to treat bond lengths and bond angles as rigid can, however, distort the potential energy landscape of the system and reduce the number of dihedral transitions as well as conformational sampling. We present here a two-part solution to overcome such distortions of the potential energy landscape with ICMD models. To alleviate the intrinsic distortion that stems from the reduced phase space in torsional MD, we use the Fixman compensating potential. To additionally alleviate the extrinsic distortion that arises from the coupling between the dihedral angles and bond angles within a force field, we propose a hybrid ICMD method that allows the selective relaxing of bond angles. This hybrid ICMD method bridges the gap between all-atom MD and torsional MD. We demonstrate with examples that these methods together offer a solution to eliminate the potential energy distortions encountered in constrained ICMD simulations of peptide molecules.

Indexed as

Molecular Dynamics SimulationPolymersProteinsPolymersProteins

Identifiers

PMID26827207
PMCPMC4733083

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.