9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Solvation free energies and partition coefficients with the coarse-grained and hybrid all-atom/coarse-grained MARTINI models

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We present the estimation of solvation free energies of small solutes in water, n-octanol and hexane using molecular dynamics simulations with two MARTINI models at different resolutions, viz. the coarse-grained (CG) and the hybrid all-atom/coarse-grained (AA/CG) models. From these estimates, we also calculate the water/hexane and water/octanol partition coefficients. More than 150 small, organic molecules were selected from the Minnesota solvation database and parameterized in a semi-automatic fashion. Using either the CG or hybrid AA/CG models, we find considerable deviations between the estimated and experimental solvation free energies in all solvents with mean absolute deviations larger than 10 kJ/mol, although the correlation coefficient is between 0.55 and 0.75 and significant. There is also no difference between the results when using the non-polarizable and polarizable water model, although we identify some improvements when using the polarizable model with the AA/CG solutes. In contrast to the estimated solvation energies, the estimated partition coefficients are generally excellent with both the CG and hybrid AA/CG models, giving mean absolute deviations between 0.67 and 0.90 log units and correlation coefficients larger than 0.85. We analyze the error distribution further and suggest avenues for improvements.

          Electronic supplementary material

          The online version of this article (doi:10.1007/s10822-017-0059-9) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: not found

          A multiscale coarse-graining method for biomolecular systems.

          A new approach is presented for obtaining coarse-grained (CG) force fields from fully atomistic molecular dynamics (MD) trajectories. The method is demonstrated by applying it to derive a CG model for the dimyristoylphosphatidylcholine (DMPC) lipid bilayer. The coarse-graining of the interparticle force field is accomplished by an application of a force-matching procedure to the force data obtained from an explicit atomistic MD simulation of the biomolecular system of interest. Hence, the method is termed a "multiscale" CG (MS-CG) approach in which explicit atomistic-level forces are propagated upward in scale to the coarse-grained level. The CG sites in the lipid bilayer application were associated with the centers-of-mass of atomic groups because of the simplicity in the evaluation of the forces acting on them from the atomistic data. The resulting CG lipid bilayer model is shown to accurately reproduce the structural properties of the phospholipid bilayer.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Avoiding singularities and numerical instabilities in free energy calculations based on molecular simulations

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Coarse-graining methods for computational biology.

              Connecting the molecular world to biology requires understanding how molecular-scale dynamics propagate upward in scale to define the function of biological structures. To address this challenge, multiscale approaches, including coarse-graining methods, become necessary. We discuss here the theoretical underpinnings and history of coarse-graining and summarize the state of the field, organizing key methodologies based on an emerging paradigm for multiscale theory and modeling of biomolecular systems. This framework involves an integrated, iterative approach to couple information from different scales. The primary steps, which coincide with key areas of method development, include developing first-pass coarse-grained models guided by experimental results, performing numerous large-scale coarse-grained simulations, identifying important interactions that drive emergent behaviors, and finally reconnecting to the molecular scale by performing all-atom molecular dynamics simulations guided by the coarse-grained results. The coarse-grained modeling can then be extended and refined, with the entire loop repeated iteratively if necessary.
                Bookmark

                Author and article information

                Contributors
                samuel.genheden@gu.se
                Journal
                J Comput Aided Mol Des
                J. Comput. Aided Mol. Des
                Journal of Computer-Aided Molecular Design
                Springer International Publishing (Cham )
                0920-654X
                1573-4951
                5 September 2017
                5 September 2017
                2017
                : 31
                : 10
                : 867-876
                Affiliations
                ISNI 0000 0000 9919 9582, GRID grid.8761.8, Department of Chemistry and Molecular Biology, , University of Gothenburg, ; Box 462, 405 30 Gothenburg, Sweden
                Author information
                http://orcid.org/0000-0002-7624-7363
                Article
                59
                10.1007/s10822-017-0059-9
                5649594
                28875361
                0fb615ae-ab0d-4663-a40b-29c399edf4ea
                © The Author(s) 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 20 May 2017
                : 30 August 2017
                Funding
                Funded by: Wenner-Gren Foundations
                Categories
                Article
                Custom metadata
                © Springer International Publishing AG 2017

                Biomedical engineering
                solvation free energies,partition coefficients,coarse graining,martini model,hybrid modeling

                Comments

                Comment on this article