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Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field

[Image: see text] The orthogonal space random walk (OSRW) method has shown enhanced sampling efficiency in free energy calculations from previous studies. In this study, the implementation of OSRW in accordance with the polarizable AMOEBA force field in TINKER molecular modeling software package is...

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Autores principales: Abella, Jayvee R., Cheng, Sara Y., Wang, Qiantao, Yang, Wei, Ren, Pengyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089918/
https://www.ncbi.nlm.nih.gov/pubmed/25018674
http://dx.doi.org/10.1021/ct500202q
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author Abella, Jayvee R.
Cheng, Sara Y.
Wang, Qiantao
Yang, Wei
Ren, Pengyu
author_facet Abella, Jayvee R.
Cheng, Sara Y.
Wang, Qiantao
Yang, Wei
Ren, Pengyu
author_sort Abella, Jayvee R.
collection PubMed
description [Image: see text] The orthogonal space random walk (OSRW) method has shown enhanced sampling efficiency in free energy calculations from previous studies. In this study, the implementation of OSRW in accordance with the polarizable AMOEBA force field in TINKER molecular modeling software package is discussed and subsequently applied to the hydration free energy calculation of 20 small organic molecules, among which 15 are positively charged and five are neutral. The calculated hydration free energies of these molecules are compared with the results obtained from the Bennett acceptance ratio method using the same force field, and overall an excellent agreement is obtained. The convergence and the efficiency of the OSRW are also discussed and compared with BAR. Combining enhanced sampling techniques such as OSRW with polarizable force fields is very promising for achieving both accuracy and efficiency in general free energy calculations.
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spelling pubmed-40899182015-05-09 Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field Abella, Jayvee R. Cheng, Sara Y. Wang, Qiantao Yang, Wei Ren, Pengyu J Chem Theory Comput [Image: see text] The orthogonal space random walk (OSRW) method has shown enhanced sampling efficiency in free energy calculations from previous studies. In this study, the implementation of OSRW in accordance with the polarizable AMOEBA force field in TINKER molecular modeling software package is discussed and subsequently applied to the hydration free energy calculation of 20 small organic molecules, among which 15 are positively charged and five are neutral. The calculated hydration free energies of these molecules are compared with the results obtained from the Bennett acceptance ratio method using the same force field, and overall an excellent agreement is obtained. The convergence and the efficiency of the OSRW are also discussed and compared with BAR. Combining enhanced sampling techniques such as OSRW with polarizable force fields is very promising for achieving both accuracy and efficiency in general free energy calculations. American Chemical Society 2014-05-09 2014-07-08 /pmc/articles/PMC4089918/ /pubmed/25018674 http://dx.doi.org/10.1021/ct500202q Text en Copyright © 2014 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html)
spellingShingle Abella, Jayvee R.
Cheng, Sara Y.
Wang, Qiantao
Yang, Wei
Ren, Pengyu
Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field
title Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field
title_full Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field
title_fullStr Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field
title_full_unstemmed Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field
title_short Hydration Free Energy from Orthogonal Space Random Walk and Polarizable Force Field
title_sort hydration free energy from orthogonal space random walk and polarizable force field
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4089918/
https://www.ncbi.nlm.nih.gov/pubmed/25018674
http://dx.doi.org/10.1021/ct500202q
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