Cargando…

The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment

Despite decades of research, the mechanism of action of the ABC multidrug transporter P-glycoprotein (P-gp) remains elusive. Due to experimental limitations, many researchers have turned to molecular dynamics simulation studies in order to investigate different aspects of P-gp function. However, suc...

Descripción completa

Detalles Bibliográficos
Autores principales: Condic-Jurkic, Karmen, Subramanian, Nandhitha, Mark, Alan E., O’Mara, Megan L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785007/
https://www.ncbi.nlm.nih.gov/pubmed/29370310
http://dx.doi.org/10.1371/journal.pone.0191882
_version_ 1783295555285286912
author Condic-Jurkic, Karmen
Subramanian, Nandhitha
Mark, Alan E.
O’Mara, Megan L.
author_facet Condic-Jurkic, Karmen
Subramanian, Nandhitha
Mark, Alan E.
O’Mara, Megan L.
author_sort Condic-Jurkic, Karmen
collection PubMed
description Despite decades of research, the mechanism of action of the ABC multidrug transporter P-glycoprotein (P-gp) remains elusive. Due to experimental limitations, many researchers have turned to molecular dynamics simulation studies in order to investigate different aspects of P-gp function. However, such studies are challenging and caution is required when interpreting the results. P-gp is highly flexible and the time scale on which it can be simulated is limited. There is also uncertainty regarding the accuracy of the various crystal structures available, let alone the structure of the protein in a physiologically relevant environment. In this study, three alternative structural models of mouse P-gp (3G5U, 4KSB, 4M1M), all resolved to 3.8 Å, were used to initiate sets of simulations of P-gp in a membrane environment in order to determine: a) the sensitivity of the results to differences in the starting configuration; and b) the extent to which converged results could be expected on the times scales commonly simulated for this system. The simulations suggest that the arrangement of the nucleotide binding domains (NBDs) observed in the crystal structures is not stable in a membrane environment. In all simulations, the NBDs rapidly associated (within 10 ns) and changes within the transmembrane helices were observed. The secondary structure within the transmembrane domain was best preserved in the 4M1M model under the simulation conditions used. However, the extent to which replicate simulations diverged on a 100 to 200 ns timescale meant that it was not possible to draw definitive conclusions as to which structure overall was most stable, or to obtain converged and reliable results for any of the properties examined. The work brings into question the reliability of conclusions made in regard to the nature of specific interactions inferred from previous simulation studies on this system involving similar sampling times. It also highlights the need to demonstrate the statistical significance of any results obtained in simulations of large flexible proteins, especially where the initial structure is uncertain.
format Online
Article
Text
id pubmed-5785007
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-57850072018-02-09 The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment Condic-Jurkic, Karmen Subramanian, Nandhitha Mark, Alan E. O’Mara, Megan L. PLoS One Research Article Despite decades of research, the mechanism of action of the ABC multidrug transporter P-glycoprotein (P-gp) remains elusive. Due to experimental limitations, many researchers have turned to molecular dynamics simulation studies in order to investigate different aspects of P-gp function. However, such studies are challenging and caution is required when interpreting the results. P-gp is highly flexible and the time scale on which it can be simulated is limited. There is also uncertainty regarding the accuracy of the various crystal structures available, let alone the structure of the protein in a physiologically relevant environment. In this study, three alternative structural models of mouse P-gp (3G5U, 4KSB, 4M1M), all resolved to 3.8 Å, were used to initiate sets of simulations of P-gp in a membrane environment in order to determine: a) the sensitivity of the results to differences in the starting configuration; and b) the extent to which converged results could be expected on the times scales commonly simulated for this system. The simulations suggest that the arrangement of the nucleotide binding domains (NBDs) observed in the crystal structures is not stable in a membrane environment. In all simulations, the NBDs rapidly associated (within 10 ns) and changes within the transmembrane helices were observed. The secondary structure within the transmembrane domain was best preserved in the 4M1M model under the simulation conditions used. However, the extent to which replicate simulations diverged on a 100 to 200 ns timescale meant that it was not possible to draw definitive conclusions as to which structure overall was most stable, or to obtain converged and reliable results for any of the properties examined. The work brings into question the reliability of conclusions made in regard to the nature of specific interactions inferred from previous simulation studies on this system involving similar sampling times. It also highlights the need to demonstrate the statistical significance of any results obtained in simulations of large flexible proteins, especially where the initial structure is uncertain. Public Library of Science 2018-01-25 /pmc/articles/PMC5785007/ /pubmed/29370310 http://dx.doi.org/10.1371/journal.pone.0191882 Text en © 2018 Condic-Jurkic et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Condic-Jurkic, Karmen
Subramanian, Nandhitha
Mark, Alan E.
O’Mara, Megan L.
The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment
title The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment
title_full The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment
title_fullStr The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment
title_full_unstemmed The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment
title_short The reliability of molecular dynamics simulations of the multidrug transporter P-glycoprotein in a membrane environment
title_sort reliability of molecular dynamics simulations of the multidrug transporter p-glycoprotein in a membrane environment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5785007/
https://www.ncbi.nlm.nih.gov/pubmed/29370310
http://dx.doi.org/10.1371/journal.pone.0191882
work_keys_str_mv AT condicjurkickarmen thereliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment
AT subramaniannandhitha thereliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment
AT markalane thereliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment
AT omarameganl thereliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment
AT condicjurkickarmen reliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment
AT subramaniannandhitha reliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment
AT markalane reliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment
AT omarameganl reliabilityofmoleculardynamicssimulationsofthemultidrugtransporterpglycoproteininamembraneenvironment