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POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins

[Image: see text] Previously, we reported development of a fast polarizable force field and software named POSSIM (POlarizable Simulations with Second order Interaction Model). The second-order approximation permits the speed up of the polarizable component of the calculations by ca. an order of mag...

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Autores principales: Li, Xinbi, Ponomarev, Sergei Y., Sigalovsky, Daniel L., Cvitkovic, John P., Kaminski, George A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230370/
https://www.ncbi.nlm.nih.gov/pubmed/25400518
http://dx.doi.org/10.1021/ct500243k
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author Li, Xinbi
Ponomarev, Sergei Y.
Sigalovsky, Daniel L.
Cvitkovic, John P.
Kaminski, George A.
author_facet Li, Xinbi
Ponomarev, Sergei Y.
Sigalovsky, Daniel L.
Cvitkovic, John P.
Kaminski, George A.
author_sort Li, Xinbi
collection PubMed
description [Image: see text] Previously, we reported development of a fast polarizable force field and software named POSSIM (POlarizable Simulations with Second order Interaction Model). The second-order approximation permits the speed up of the polarizable component of the calculations by ca. an order of magnitude. We have now expanded the POSSIM framework to include a complete polarizable force field for proteins. Most of the parameter fitting was done to high-level quantum mechanical data. Conformational geometries and energies for dipeptides have been reproduced within average errors of ca. 0.5 kcal/mol for energies of the conformers (for the electrostatically neutral residues) and 9.7° for key dihedral angles. We have also validated this force field by running Monte Carlo simulations of collagen-like proteins in water. The resulting geometries were within 0.94 Å root-mean-square deviation (RMSD) from the experimental data. We have performed additional validation by studying conformational properties of three oligopeptides relevant in the context of N-glycoprotein secondary structure. These systems have been previously studied with combined experimental and computational methods, and both POSSIM and benchmark OPLS-AA simulations that we carried out produced geometries within ca. 0.9 Å RMSD of the literature structures. Thus, the performance of POSSIM in reproducing the structures is comparable with that of the widely used OPLS-AA force field. Furthermore, our fitting of the force field parameters for peptides and proteins has been streamlined compared with the previous generation of the complete polarizable force field and relied more on transferability of parameters for nonbonded interactions (including the electrostatic component). The resulting deviations from the quantum mechanical data are similar to those achieved with the previous generation; thus, the technique is robust, and the parameters are transferable. At the same time, the number of parameters used in this work was noticeably smaller than that of the previous generation of our complete polarizable force field for proteins; thus, the transferability of this set can be expected to be greater, and the danger of force field fitting artifacts is lower. Therefore, we believe that this force field can be successfully applied in a wide variety of applications to proteins and protein–ligand complexes.
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spelling pubmed-42303702015-10-14 POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins Li, Xinbi Ponomarev, Sergei Y. Sigalovsky, Daniel L. Cvitkovic, John P. Kaminski, George A. J Chem Theory Comput [Image: see text] Previously, we reported development of a fast polarizable force field and software named POSSIM (POlarizable Simulations with Second order Interaction Model). The second-order approximation permits the speed up of the polarizable component of the calculations by ca. an order of magnitude. We have now expanded the POSSIM framework to include a complete polarizable force field for proteins. Most of the parameter fitting was done to high-level quantum mechanical data. Conformational geometries and energies for dipeptides have been reproduced within average errors of ca. 0.5 kcal/mol for energies of the conformers (for the electrostatically neutral residues) and 9.7° for key dihedral angles. We have also validated this force field by running Monte Carlo simulations of collagen-like proteins in water. The resulting geometries were within 0.94 Å root-mean-square deviation (RMSD) from the experimental data. We have performed additional validation by studying conformational properties of three oligopeptides relevant in the context of N-glycoprotein secondary structure. These systems have been previously studied with combined experimental and computational methods, and both POSSIM and benchmark OPLS-AA simulations that we carried out produced geometries within ca. 0.9 Å RMSD of the literature structures. Thus, the performance of POSSIM in reproducing the structures is comparable with that of the widely used OPLS-AA force field. Furthermore, our fitting of the force field parameters for peptides and proteins has been streamlined compared with the previous generation of the complete polarizable force field and relied more on transferability of parameters for nonbonded interactions (including the electrostatic component). The resulting deviations from the quantum mechanical data are similar to those achieved with the previous generation; thus, the technique is robust, and the parameters are transferable. At the same time, the number of parameters used in this work was noticeably smaller than that of the previous generation of our complete polarizable force field for proteins; thus, the transferability of this set can be expected to be greater, and the danger of force field fitting artifacts is lower. Therefore, we believe that this force field can be successfully applied in a wide variety of applications to proteins and protein–ligand complexes. American Chemical Society 2014-10-14 2014-11-11 /pmc/articles/PMC4230370/ /pubmed/25400518 http://dx.doi.org/10.1021/ct500243k Text en Copyright © 2014 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 Li, Xinbi
Ponomarev, Sergei Y.
Sigalovsky, Daniel L.
Cvitkovic, John P.
Kaminski, George A.
POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins
title POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins
title_full POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins
title_fullStr POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins
title_full_unstemmed POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins
title_short POSSIM: Parameterizing Complete Second-Order Polarizable Force Field for Proteins
title_sort possim: parameterizing complete second-order polarizable force field for proteins
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230370/
https://www.ncbi.nlm.nih.gov/pubmed/25400518
http://dx.doi.org/10.1021/ct500243k
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