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Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly
Predicting solvation free energies and describing the complex water behavior that plays an important role in essentially all biological processes is a major challenge from the computational standpoint. While an atomistic, explicit description of the solvent can turn out to be too expensive in large...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816062/ https://www.ncbi.nlm.nih.gov/pubmed/29484300 http://dx.doi.org/10.3389/fmolb.2018.00013 |
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author | Ricci, Clarisse Gravina Li, Bo Cheng, Li-Tien Dzubiella, Joachim McCammon, J. Andrew |
author_facet | Ricci, Clarisse Gravina Li, Bo Cheng, Li-Tien Dzubiella, Joachim McCammon, J. Andrew |
author_sort | Ricci, Clarisse Gravina |
collection | PubMed |
description | Predicting solvation free energies and describing the complex water behavior that plays an important role in essentially all biological processes is a major challenge from the computational standpoint. While an atomistic, explicit description of the solvent can turn out to be too expensive in large biomolecular systems, most implicit solvent methods fail to capture “dewetting” effects and heterogeneous hydration by relying on a pre-established (i.e., guessed) solvation interface. Here we focus on the Variational Implicit Solvent Method, an implicit solvent method that adds water “plasticity” back to the picture by formulating the solvation free energy as a functional of all possible solvation interfaces. We survey VISM's applications to the problem of molecular recognition and report some of the most recent efforts to tailor VISM for more challenging scenarios, with the ultimate goal of including thermal fluctuations into the framework. The advances reported herein pave the way to make VISM a uniquely successful approach to characterize complex solvation properties in the recognition and binding of large-scale biomolecular complexes. |
format | Online Article Text |
id | pubmed-5816062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58160622018-02-26 Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly Ricci, Clarisse Gravina Li, Bo Cheng, Li-Tien Dzubiella, Joachim McCammon, J. Andrew Front Mol Biosci Molecular Biosciences Predicting solvation free energies and describing the complex water behavior that plays an important role in essentially all biological processes is a major challenge from the computational standpoint. While an atomistic, explicit description of the solvent can turn out to be too expensive in large biomolecular systems, most implicit solvent methods fail to capture “dewetting” effects and heterogeneous hydration by relying on a pre-established (i.e., guessed) solvation interface. Here we focus on the Variational Implicit Solvent Method, an implicit solvent method that adds water “plasticity” back to the picture by formulating the solvation free energy as a functional of all possible solvation interfaces. We survey VISM's applications to the problem of molecular recognition and report some of the most recent efforts to tailor VISM for more challenging scenarios, with the ultimate goal of including thermal fluctuations into the framework. The advances reported herein pave the way to make VISM a uniquely successful approach to characterize complex solvation properties in the recognition and binding of large-scale biomolecular complexes. Frontiers Media S.A. 2018-02-12 /pmc/articles/PMC5816062/ /pubmed/29484300 http://dx.doi.org/10.3389/fmolb.2018.00013 Text en Copyright © 2018 Ricci, Li, Cheng, Dzubiella and McCammon. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Ricci, Clarisse Gravina Li, Bo Cheng, Li-Tien Dzubiella, Joachim McCammon, J. Andrew Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly |
title | Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly |
title_full | Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly |
title_fullStr | Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly |
title_full_unstemmed | Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly |
title_short | Tailoring the Variational Implicit Solvent Method for New Challenges: Biomolecular Recognition and Assembly |
title_sort | tailoring the variational implicit solvent method for new challenges: biomolecular recognition and assembly |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5816062/ https://www.ncbi.nlm.nih.gov/pubmed/29484300 http://dx.doi.org/10.3389/fmolb.2018.00013 |
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