Cargando…
Highly Efficient Computation of the Basal k(on) using Direct Simulation of Protein–Protein Association with Flexible Molecular Models
[Image: see text] An essential baseline for determining the extent to which electrostatic interactions enhance the kinetics of protein–protein association is the “basal” k(on), which is the rate constant for association in the absence of electrostatic interactions. However, since such association ev...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2015
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716576/ https://www.ncbi.nlm.nih.gov/pubmed/26673903 http://dx.doi.org/10.1021/acs.jpcb.5b10747 |
_version_ | 1782410560031162368 |
---|---|
author | Saglam, Ali S. Chong, Lillian T. |
author_facet | Saglam, Ali S. Chong, Lillian T. |
author_sort | Saglam, Ali S. |
collection | PubMed |
description | [Image: see text] An essential baseline for determining the extent to which electrostatic interactions enhance the kinetics of protein–protein association is the “basal” k(on), which is the rate constant for association in the absence of electrostatic interactions. However, since such association events are beyond the milliseconds time scale, it has not been practical to compute the basal k(on) by directly simulating the association with flexible models. Here, we computed the basal k(on) for barnase and barstar, two of the most rapidly associating proteins, using highly efficient, flexible molecular simulations. These simulations involved (a) pseudoatomic protein models that reproduce the molecular shapes, electrostatic, and diffusion properties of all-atom models, and (b) application of the weighted ensemble path sampling strategy, which enhanced the efficiency of generating association events by >130-fold. We also examined the extent to which the computed basal k(on) is affected by inclusion of intermolecular hydrodynamic interactions in the simulations. |
format | Online Article Text |
id | pubmed-4716576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-47165762016-01-21 Highly Efficient Computation of the Basal k(on) using Direct Simulation of Protein–Protein Association with Flexible Molecular Models Saglam, Ali S. Chong, Lillian T. J Phys Chem B [Image: see text] An essential baseline for determining the extent to which electrostatic interactions enhance the kinetics of protein–protein association is the “basal” k(on), which is the rate constant for association in the absence of electrostatic interactions. However, since such association events are beyond the milliseconds time scale, it has not been practical to compute the basal k(on) by directly simulating the association with flexible models. Here, we computed the basal k(on) for barnase and barstar, two of the most rapidly associating proteins, using highly efficient, flexible molecular simulations. These simulations involved (a) pseudoatomic protein models that reproduce the molecular shapes, electrostatic, and diffusion properties of all-atom models, and (b) application of the weighted ensemble path sampling strategy, which enhanced the efficiency of generating association events by >130-fold. We also examined the extent to which the computed basal k(on) is affected by inclusion of intermolecular hydrodynamic interactions in the simulations. American Chemical Society 2015-12-16 2016-01-14 /pmc/articles/PMC4716576/ /pubmed/26673903 http://dx.doi.org/10.1021/acs.jpcb.5b10747 Text en Copyright © 2015 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 | Saglam, Ali S. Chong, Lillian T. Highly Efficient Computation of the Basal k(on) using Direct Simulation of Protein–Protein Association with Flexible Molecular Models |
title | Highly Efficient Computation of the Basal k(on) using Direct Simulation
of Protein–Protein Association with Flexible Molecular Models |
title_full | Highly Efficient Computation of the Basal k(on) using Direct Simulation
of Protein–Protein Association with Flexible Molecular Models |
title_fullStr | Highly Efficient Computation of the Basal k(on) using Direct Simulation
of Protein–Protein Association with Flexible Molecular Models |
title_full_unstemmed | Highly Efficient Computation of the Basal k(on) using Direct Simulation
of Protein–Protein Association with Flexible Molecular Models |
title_short | Highly Efficient Computation of the Basal k(on) using Direct Simulation
of Protein–Protein Association with Flexible Molecular Models |
title_sort | highly efficient computation of the basal k(on) using direct simulation
of protein–protein association with flexible molecular models |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4716576/ https://www.ncbi.nlm.nih.gov/pubmed/26673903 http://dx.doi.org/10.1021/acs.jpcb.5b10747 |
work_keys_str_mv | AT saglamalis highlyefficientcomputationofthebasalkonusingdirectsimulationofproteinproteinassociationwithflexiblemolecularmodels AT chonglilliant highlyefficientcomputationofthebasalkonusingdirectsimulationofproteinproteinassociationwithflexiblemolecularmodels |