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Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics

[Image: see text] Internal coordinates such as bond lengths, bond angles, and torsion angles (BAT) are natural coordinates for describing a bonded molecular system. However, the molecular dynamics (MD) simulation methods that are widely used for proteins, DNA, and polymers are based on Cartesian coo...

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Autores principales: Vaidehi, Nagarajan, Jain, Abhinandan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315417/
https://www.ncbi.nlm.nih.gov/pubmed/25517406
http://dx.doi.org/10.1021/jp509136y
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author Vaidehi, Nagarajan
Jain, Abhinandan
author_facet Vaidehi, Nagarajan
Jain, Abhinandan
author_sort Vaidehi, Nagarajan
collection PubMed
description [Image: see text] Internal coordinates such as bond lengths, bond angles, and torsion angles (BAT) are natural coordinates for describing a bonded molecular system. However, the molecular dynamics (MD) simulation methods that are widely used for proteins, DNA, and polymers are based on Cartesian coordinates owing to the mathematical simplicity of the equations of motion. However, constraints are often needed with Cartesian MD simulations to enhance the conformational sampling. This makes the equations of motion in the Cartesian coordinates differential-algebraic, which adversely impacts the complexity and the robustness of the simulations. On the other hand, constraints can be easily placed in BAT coordinates by removing the degrees of freedom that need to be constrained. Thus, the internal coordinate MD (ICMD) offers an attractive alternative to Cartesian coordinate MD for developing multiscale MD method. The torsional MD method is a special adaptation of the ICMD method, where all the bond lengths and bond angles are kept rigid. The advantages of ICMD simulation methods are the longer time step size afforded by freezing high frequency degrees of freedom and performing a conformational search in the more important low frequency torsional degrees of freedom. However, the advancements in the ICMD simulations have been slow and stifled by long-standing mathematical bottlenecks. In this review, we summarize the recent mathematical advancements we have made based on spatial operator algebra, in developing a robust long time scale ICMD simulation toolkit useful for various applications. We also present the applications of ICMD simulations to study conformational changes in proteins and protein structure refinement. We review the advantages of the ICMD simulations over the Cartesian simulations when used with enhanced sampling methods and project the future use of ICMD simulations in protein dynamics.
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spelling pubmed-43154172015-12-17 Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics Vaidehi, Nagarajan Jain, Abhinandan J Phys Chem B [Image: see text] Internal coordinates such as bond lengths, bond angles, and torsion angles (BAT) are natural coordinates for describing a bonded molecular system. However, the molecular dynamics (MD) simulation methods that are widely used for proteins, DNA, and polymers are based on Cartesian coordinates owing to the mathematical simplicity of the equations of motion. However, constraints are often needed with Cartesian MD simulations to enhance the conformational sampling. This makes the equations of motion in the Cartesian coordinates differential-algebraic, which adversely impacts the complexity and the robustness of the simulations. On the other hand, constraints can be easily placed in BAT coordinates by removing the degrees of freedom that need to be constrained. Thus, the internal coordinate MD (ICMD) offers an attractive alternative to Cartesian coordinate MD for developing multiscale MD method. The torsional MD method is a special adaptation of the ICMD method, where all the bond lengths and bond angles are kept rigid. The advantages of ICMD simulation methods are the longer time step size afforded by freezing high frequency degrees of freedom and performing a conformational search in the more important low frequency torsional degrees of freedom. However, the advancements in the ICMD simulations have been slow and stifled by long-standing mathematical bottlenecks. In this review, we summarize the recent mathematical advancements we have made based on spatial operator algebra, in developing a robust long time scale ICMD simulation toolkit useful for various applications. We also present the applications of ICMD simulations to study conformational changes in proteins and protein structure refinement. We review the advantages of the ICMD simulations over the Cartesian simulations when used with enhanced sampling methods and project the future use of ICMD simulations in protein dynamics. American Chemical Society 2014-12-17 2015-01-29 /pmc/articles/PMC4315417/ /pubmed/25517406 http://dx.doi.org/10.1021/jp509136y Text en Copyright © 2014 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Vaidehi, Nagarajan
Jain, Abhinandan
Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics
title Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics
title_full Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics
title_fullStr Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics
title_full_unstemmed Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics
title_short Internal Coordinate Molecular Dynamics: A Foundation for Multiscale Dynamics
title_sort internal coordinate molecular dynamics: a foundation for multiscale dynamics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315417/
https://www.ncbi.nlm.nih.gov/pubmed/25517406
http://dx.doi.org/10.1021/jp509136y
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