Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters

Based on the observation that Ramachandran-type potential energy surfaces of single amino acid units in water are in good agreement with statistical structures of the corresponding amino acid residues in proteins, we recently developed a new all-atom force field called SAAP, in which the total energ...

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Main Authors: Kenichi Dedachi, Taku Shimosato, Toshiya Minezaki, Michio Iwaoka
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Journal of Chemistry
Online Access:http://dx.doi.org/10.1155/2013/407862
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author Kenichi Dedachi
Taku Shimosato
Toshiya Minezaki
Michio Iwaoka
author_facet Kenichi Dedachi
Taku Shimosato
Toshiya Minezaki
Michio Iwaoka
author_sort Kenichi Dedachi
collection DOAJ
description Based on the observation that Ramachandran-type potential energy surfaces of single amino acid units in water are in good agreement with statistical structures of the corresponding amino acid residues in proteins, we recently developed a new all-atom force field called SAAP, in which the total energy function for a polypeptide is expressed basically as a sum of single amino acid potentials and electrostatic and Lennard-Jones potentials between the amino acid units. In this study, the SAAP force field (SAAPFF) parameters were improved, and classical canonical Monte Carlo (MC) simulation was carried out for short peptide models, that is, Met-enkephalin and chignolin, at 300 K in an implicit water model. Diverse structures were reasonably obtained for Met-enkephalin, while three folded structures, one of which corresponds to a native-like structure with three native hydrogen bonds, were obtained for chignolin. The results suggested that the SAAP-MC method is useful for conformational sampling for the short peptides. A protocol of SAAP-MC simulation followed by structural clustering and examination of the obtained structures by ab initio calculation or simply by the number of the hydrogen bonds (or the hardness) was demonstrated to be an effective strategy toward structure prediction for short peptide molecules.
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spelling doaj-art-fd8c2457e43e40ef93aa2f78d2c9a7812025-08-20T02:22:39ZengWileyJournal of Chemistry2090-90632090-90712013-01-01201310.1155/2013/407862407862Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field ParametersKenichi Dedachi0Taku Shimosato1Toshiya Minezaki2Michio Iwaoka3Department of Chemistry, School of Science, Tokai University, Kitakaname, Hiratsuka-shi, Kanagawa 259-1292, JapanDepartment of Chemistry, School of Science, Tokai University, Kitakaname, Hiratsuka-shi, Kanagawa 259-1292, JapanLaboratory of General Education for Science and Technology, School of Science, Tokai University, Kitakaname, Hiratsuka-shi, Kanagawa 259-1292, JapanDepartment of Chemistry, School of Science, Tokai University, Kitakaname, Hiratsuka-shi, Kanagawa 259-1292, JapanBased on the observation that Ramachandran-type potential energy surfaces of single amino acid units in water are in good agreement with statistical structures of the corresponding amino acid residues in proteins, we recently developed a new all-atom force field called SAAP, in which the total energy function for a polypeptide is expressed basically as a sum of single amino acid potentials and electrostatic and Lennard-Jones potentials between the amino acid units. In this study, the SAAP force field (SAAPFF) parameters were improved, and classical canonical Monte Carlo (MC) simulation was carried out for short peptide models, that is, Met-enkephalin and chignolin, at 300 K in an implicit water model. Diverse structures were reasonably obtained for Met-enkephalin, while three folded structures, one of which corresponds to a native-like structure with three native hydrogen bonds, were obtained for chignolin. The results suggested that the SAAP-MC method is useful for conformational sampling for the short peptides. A protocol of SAAP-MC simulation followed by structural clustering and examination of the obtained structures by ab initio calculation or simply by the number of the hydrogen bonds (or the hardness) was demonstrated to be an effective strategy toward structure prediction for short peptide molecules.http://dx.doi.org/10.1155/2013/407862
spellingShingle Kenichi Dedachi
Taku Shimosato
Toshiya Minezaki
Michio Iwaoka
Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters
Journal of Chemistry
title Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters
title_full Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters
title_fullStr Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters
title_full_unstemmed Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters
title_short Toward Structure Prediction for Short Peptides Using the Improved SAAP Force Field Parameters
title_sort toward structure prediction for short peptides using the improved saap force field parameters
url http://dx.doi.org/10.1155/2013/407862
work_keys_str_mv AT kenichidedachi towardstructurepredictionforshortpeptidesusingtheimprovedsaapforcefieldparameters
AT takushimosato towardstructurepredictionforshortpeptidesusingtheimprovedsaapforcefieldparameters
AT toshiyaminezaki towardstructurepredictionforshortpeptidesusingtheimprovedsaapforcefieldparameters
AT michioiwaoka towardstructurepredictionforshortpeptidesusingtheimprovedsaapforcefieldparameters