Cargando…
Method to Predict Crowding Effects by Postprocessing Molecular Dynamics Trajectories: Application to the Flap Dynamics of HIV-1 Protease
[Image: see text] The internal dynamics of proteins inside of cells may be affected by the crowded intracellular environments. Here, we test a novel approach to simulations of crowding, in which simulations in the absence of crowders are postprocessed to predict crowding effects, against the direct...
Autores principales: | , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2009
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2837415/ https://www.ncbi.nlm.nih.gov/pubmed/20228897 http://dx.doi.org/10.1021/jz900023w |
_version_ | 1782178819494379520 |
---|---|
author | Qin, Sanbo Minh, David D. L. McCammon, J. Andrew Zhou, Huan-Xiang |
author_facet | Qin, Sanbo Minh, David D. L. McCammon, J. Andrew Zhou, Huan-Xiang |
author_sort | Qin, Sanbo |
collection | PubMed |
description | [Image: see text] The internal dynamics of proteins inside of cells may be affected by the crowded intracellular environments. Here, we test a novel approach to simulations of crowding, in which simulations in the absence of crowders are postprocessed to predict crowding effects, against the direct approach of simulations in the presence of crowders. The effects of crowding on the flap dynamics of HIV-1 protease predicted by the postprocessing approach are found to agree well with those calculated by the direct approach. The postprocessing approach presents distinct advantages over the direct approach in terms of accuracy and speed and is expected to have broad impact on atomistic simulations of macromolecular crowding. |
format | Text |
id | pubmed-2837415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-28374152010-03-12 Method to Predict Crowding Effects by Postprocessing Molecular Dynamics Trajectories: Application to the Flap Dynamics of HIV-1 Protease Qin, Sanbo Minh, David D. L. McCammon, J. Andrew Zhou, Huan-Xiang J Phys Chem Lett [Image: see text] The internal dynamics of proteins inside of cells may be affected by the crowded intracellular environments. Here, we test a novel approach to simulations of crowding, in which simulations in the absence of crowders are postprocessed to predict crowding effects, against the direct approach of simulations in the presence of crowders. The effects of crowding on the flap dynamics of HIV-1 protease predicted by the postprocessing approach are found to agree well with those calculated by the direct approach. The postprocessing approach presents distinct advantages over the direct approach in terms of accuracy and speed and is expected to have broad impact on atomistic simulations of macromolecular crowding. American Chemical Society 2009-11-09 2010-01-07 /pmc/articles/PMC2837415/ /pubmed/20228897 http://dx.doi.org/10.1021/jz900023w Text en Copyright © 2009 American Chemical Society http://pubs.acs.org This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org. |
spellingShingle | Qin, Sanbo Minh, David D. L. McCammon, J. Andrew Zhou, Huan-Xiang Method to Predict Crowding Effects by Postprocessing Molecular Dynamics Trajectories: Application to the Flap Dynamics of HIV-1 Protease |
title | Method to Predict Crowding Effects by Postprocessing
Molecular Dynamics Trajectories: Application to the Flap Dynamics
of HIV-1 Protease |
title_full | Method to Predict Crowding Effects by Postprocessing
Molecular Dynamics Trajectories: Application to the Flap Dynamics
of HIV-1 Protease |
title_fullStr | Method to Predict Crowding Effects by Postprocessing
Molecular Dynamics Trajectories: Application to the Flap Dynamics
of HIV-1 Protease |
title_full_unstemmed | Method to Predict Crowding Effects by Postprocessing
Molecular Dynamics Trajectories: Application to the Flap Dynamics
of HIV-1 Protease |
title_short | Method to Predict Crowding Effects by Postprocessing
Molecular Dynamics Trajectories: Application to the Flap Dynamics
of HIV-1 Protease |
title_sort | method to predict crowding effects by postprocessing
molecular dynamics trajectories: application to the flap dynamics
of hiv-1 protease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2837415/ https://www.ncbi.nlm.nih.gov/pubmed/20228897 http://dx.doi.org/10.1021/jz900023w |
work_keys_str_mv | AT qinsanbo methodtopredictcrowdingeffectsbypostprocessingmoleculardynamicstrajectoriesapplicationtotheflapdynamicsofhiv1protease AT minhdaviddl methodtopredictcrowdingeffectsbypostprocessingmoleculardynamicstrajectoriesapplicationtotheflapdynamicsofhiv1protease AT mccammonjandrew methodtopredictcrowdingeffectsbypostprocessingmoleculardynamicstrajectoriesapplicationtotheflapdynamicsofhiv1protease AT zhouhuanxiang methodtopredictcrowdingeffectsbypostprocessingmoleculardynamicstrajectoriesapplicationtotheflapdynamicsofhiv1protease |