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Accurate determination of solvation free energies of neutral organic compounds from first principles
The main goal of molecular simulation is to accurately predict experimental observables of molecular systems. Another long-standing goal is to devise models for arbitrary neutral organic molecules with little or no reliance on experimental data. While separately these goals have been met to various...
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Published in: | Nature communications 2022-01, Vol.13 (1), p.414-414, Article 414 |
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creator | Pereyaslavets, Leonid Kamath, Ganesh Butin, Oleg Illarionov, Alexey Olevanov, Michael Kurnikov, Igor Sakipov, Serzhan Leontyev, Igor Voronina, Ekaterina Gannon, Tyler Nawrocki, Grzegorz Darkhovskiy, Mikhail Ivahnenko, Ilya Kostikov, Alexander Scaranto, Jessica Kurnikova, Maria G. Banik, Suvo Chan, Henry Sternberg, Michael G. Sankaranarayanan, Subramanian K. R. S. Crawford, Brad Potoff, Jeffrey Levitt, Michael Kornberg, Roger D. Fain, Boris |
description | The main goal of molecular simulation is to accurately predict experimental observables of molecular systems. Another long-standing goal is to devise models for arbitrary neutral organic molecules with little or no reliance on experimental data. While separately these goals have been met to various degrees, for an arbitrary system of molecules they have not been achieved simultaneously. For biophysical ensembles that exist at room temperature and pressure, and where the entropic contributions are on par with interaction strengths, it is the free energies that are both most important and most difficult to predict. We compute the free energies of solvation for a diverse set of neutral organic compounds using a polarizable force field fitted entirely to ab initio calculations. The mean absolute errors (MAE) of hydration, cyclohexane solvation, and corresponding partition coefficients are 0.2 kcal/mol, 0.3 kcal/mol and 0.22 log units,
i.e
. within chemical accuracy. The model (ARROW FF) is multipolar, polarizable, and its accompanying simulation stack includes nuclear quantum effects (NQE). The simulation tools’ computational efficiency is on a par with current state-of-the-art packages. The construction of a wide-coverage molecular modelling toolset from first principles, together with its excellent predictive ability in the liquid phase is a major advance in biomolecular simulation.
Theoretical estimations of solvation free energy by continuum solvation models are generally not accurate. Here the authors report a polarizable force field fitted entirely to first-principles calculations for the estimation of free energy of solvation of arbitrary molecules. |
doi_str_mv | 10.1038/s41467-022-28041-0 |
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i.e
. within chemical accuracy. The model (ARROW FF) is multipolar, polarizable, and its accompanying simulation stack includes nuclear quantum effects (NQE). The simulation tools’ computational efficiency is on a par with current state-of-the-art packages. The construction of a wide-coverage molecular modelling toolset from first principles, together with its excellent predictive ability in the liquid phase is a major advance in biomolecular simulation.
Theoretical estimations of solvation free energy by continuum solvation models are generally not accurate. 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The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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While separately these goals have been met to various degrees, for an arbitrary system of molecules they have not been achieved simultaneously. For biophysical ensembles that exist at room temperature and pressure, and where the entropic contributions are on par with interaction strengths, it is the free energies that are both most important and most difficult to predict. We compute the free energies of solvation for a diverse set of neutral organic compounds using a polarizable force field fitted entirely to ab initio calculations. The mean absolute errors (MAE) of hydration, cyclohexane solvation, and corresponding partition coefficients are 0.2 kcal/mol, 0.3 kcal/mol and 0.22 log units,
i.e
. within chemical accuracy. The model (ARROW FF) is multipolar, polarizable, and its accompanying simulation stack includes nuclear quantum effects (NQE). The simulation tools’ computational efficiency is on a par with current state-of-the-art packages. The construction of a wide-coverage molecular modelling toolset from first principles, together with its excellent predictive ability in the liquid phase is a major advance in biomolecular simulation.
Theoretical estimations of solvation free energy by continuum solvation models are generally not accurate. 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R. S.</creatorcontrib><creatorcontrib>Crawford, Brad</creatorcontrib><creatorcontrib>Potoff, Jeffrey</creatorcontrib><creatorcontrib>Levitt, Michael</creatorcontrib><creatorcontrib>Kornberg, Roger D.</creatorcontrib><creatorcontrib>Fain, Boris</creatorcontrib><creatorcontrib>Univ. of California, Los Angeles, CA (United States)</creatorcontrib><creatorcontrib>Argonne National Lab. (ANL), Argonne, IL (United States). Center for Nanoscale Materials</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Nature communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pereyaslavets, Leonid</au><au>Kamath, Ganesh</au><au>Butin, Oleg</au><au>Illarionov, Alexey</au><au>Olevanov, Michael</au><au>Kurnikov, Igor</au><au>Sakipov, Serzhan</au><au>Leontyev, Igor</au><au>Voronina, Ekaterina</au><au>Gannon, Tyler</au><au>Nawrocki, Grzegorz</au><au>Darkhovskiy, Mikhail</au><au>Ivahnenko, Ilya</au><au>Kostikov, Alexander</au><au>Scaranto, Jessica</au><au>Kurnikova, Maria G.</au><au>Banik, Suvo</au><au>Chan, Henry</au><au>Sternberg, Michael G.</au><au>Sankaranarayanan, Subramanian K. R. S.</au><au>Crawford, Brad</au><au>Potoff, Jeffrey</au><au>Levitt, Michael</au><au>Kornberg, Roger D.</au><au>Fain, Boris</au><aucorp>Univ. of California, Los Angeles, CA (United States)</aucorp><aucorp>Argonne National Lab. (ANL), Argonne, IL (United States). Center for Nanoscale Materials</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accurate determination of solvation free energies of neutral organic compounds from first principles</atitle><jtitle>Nature communications</jtitle><stitle>Nat Commun</stitle><addtitle>Nat Commun</addtitle><date>2022-01-20</date><risdate>2022</risdate><volume>13</volume><issue>1</issue><spage>414</spage><epage>414</epage><pages>414-414</pages><artnum>414</artnum><issn>2041-1723</issn><eissn>2041-1723</eissn><abstract>The main goal of molecular simulation is to accurately predict experimental observables of molecular systems. Another long-standing goal is to devise models for arbitrary neutral organic molecules with little or no reliance on experimental data. While separately these goals have been met to various degrees, for an arbitrary system of molecules they have not been achieved simultaneously. For biophysical ensembles that exist at room temperature and pressure, and where the entropic contributions are on par with interaction strengths, it is the free energies that are both most important and most difficult to predict. We compute the free energies of solvation for a diverse set of neutral organic compounds using a polarizable force field fitted entirely to ab initio calculations. The mean absolute errors (MAE) of hydration, cyclohexane solvation, and corresponding partition coefficients are 0.2 kcal/mol, 0.3 kcal/mol and 0.22 log units,
i.e
. within chemical accuracy. The model (ARROW FF) is multipolar, polarizable, and its accompanying simulation stack includes nuclear quantum effects (NQE). The simulation tools’ computational efficiency is on a par with current state-of-the-art packages. The construction of a wide-coverage molecular modelling toolset from first principles, together with its excellent predictive ability in the liquid phase is a major advance in biomolecular simulation.
Theoretical estimations of solvation free energy by continuum solvation models are generally not accurate. Here the authors report a polarizable force field fitted entirely to first-principles calculations for the estimation of free energy of solvation of arbitrary molecules.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>35058472</pmid><doi>10.1038/s41467-022-28041-0</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-8198-7737</orcidid><orcidid>https://orcid.org/0000-0002-9708-396X</orcidid><orcidid>https://orcid.org/0000-0003-0638-7333</orcidid><orcidid>https://orcid.org/0000-0003-3682-5568</orcidid><orcidid>https://orcid.org/0000-0001-7239-8853</orcidid><orcidid>https://orcid.org/0000-0002-8010-8374</orcidid><orcidid>https://orcid.org/0000-0001-7414-4670</orcidid><orcidid>https://orcid.org/0000000172398853</orcidid><orcidid>https://orcid.org/0000000306387333</orcidid><orcidid>https://orcid.org/000000029708396X</orcidid><orcidid>https://orcid.org/0000000280108374</orcidid><orcidid>https://orcid.org/0000000281987737</orcidid><orcidid>https://orcid.org/0000000174144670</orcidid><orcidid>https://orcid.org/0000000336825568</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2041-1723 |
ispartof | Nature communications, 2022-01, Vol.13 (1), p.414-414, Article 414 |
issn | 2041-1723 2041-1723 |
language | eng |
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source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central Free; Nature; Springer Nature - nature.com Journals - Fully Open Access |
subjects | 119/118 639/638/563/606 639/638/563/758 639/638/563/981 computational chemistry Computer applications Cyclohexane First principles Free energy Humanities and Social Sciences INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY Liquid phases Model accuracy molecular dynamics Molecular modelling multidisciplinary Organic chemistry Organic compounds quantum chemistry Room temperature Science Science (multidisciplinary) Simulation Software Solvation |
title | Accurate determination of solvation free energies of neutral organic compounds from first principles |
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