Multiple minima hypersurfaces procedures for biomimetic ligands screening

Detalhes bibliográficos
Autor(a) principal: Mascini, M.
Data de Publicação: 2011
Outros Autores: Del Carlo, M., Compagnone, D., Perez, G., Montero-Cabrera, L. A., Gonzalez, S., Yamanaka, Hideko [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-94-007-1324-6_65
http://hdl.handle.net/11449/72660
Resumo: In this work the interaction of the pesticide carbaryl with two groups of biomimetic ligands, peptides and MIPs was screened by multiple minima hypersurfaces (MMH) procedures, through the AM1 semiempirical method. Data related to the properties of the molecular association of the complex biomimetic ligand-pesticide were obtained and compared with another molecular modeling algorithm named Leapfrog, as included in the Sybyl software package, and experimental results from the literature, remarking good correlation between them. All important MMH program parameters (cells number, box size, conformers) were studied and optimized with the aim of getting the minimum computation time without losing the correlation with experimental data. The data demonstrated that MMH approach can be used as a fast biomimetic ligand screening tool for MIPs. In the case of peptides the computation time was not comparable with the molecular dynamics methods conventionally used for this approach. © 2011 Springer Science+Business Media B.V.
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spelling Multiple minima hypersurfaces procedures for biomimetic ligands screeningBox sizesCarbarylComputation timeExperimental dataGood correlationsHyper-surfacesMolecular associationsMolecular dynamics methodsMolecular modeling algorithmsProgram parametersScreening toolSemi-empirical methodsBiomimeticsChemical bondsMicrosystemsMolecular dynamicsPeptidesPesticidesPlasma wavesSensorsLigandsIn this work the interaction of the pesticide carbaryl with two groups of biomimetic ligands, peptides and MIPs was screened by multiple minima hypersurfaces (MMH) procedures, through the AM1 semiempirical method. Data related to the properties of the molecular association of the complex biomimetic ligand-pesticide were obtained and compared with another molecular modeling algorithm named Leapfrog, as included in the Sybyl software package, and experimental results from the literature, remarking good correlation between them. All important MMH program parameters (cells number, box size, conformers) were studied and optimized with the aim of getting the minimum computation time without losing the correlation with experimental data. The data demonstrated that MMH approach can be used as a fast biomimetic ligand screening tool for MIPs. In the case of peptides the computation time was not comparable with the molecular dynamics methods conventionally used for this approach. © 2011 Springer Science+Business Media B.V.Department of Food Science University of Teramo, 64023 TeramoLaboratory of Computational and Theoretical Chemistry Faculty of Chemistry University of Havana, 10400 HavanaDepartamento de Quimica Analitica Instituto de Quimica Universidade Estadual Paulista, Caixa Postal 355, 14800-900 Araraquara, SPDepartamento de Quimica Analitica Instituto de Quimica Universidade Estadual Paulista, Caixa Postal 355, 14800-900 Araraquara, SPUniversity of TeramoUniversity of HavanaUniversidade Estadual Paulista (Unesp)Mascini, M.Del Carlo, M.Compagnone, D.Perez, G.Montero-Cabrera, L. A.Gonzalez, S.Yamanaka, Hideko [UNESP]2014-05-27T11:25:59Z2014-05-27T11:25:59Z2011-09-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject403-407http://dx.doi.org/10.1007/978-94-007-1324-6_65Lecture Notes in Electrical Engineering, v. 91 LNEE, p. 403-407.1876-11001876-1119http://hdl.handle.net/11449/7266010.1007/978-94-007-1324-6_652-s2.0-800523548531923726000036625Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Electrical Engineering0,135info:eu-repo/semantics/openAccess2021-10-23T21:41:36Zoai:repositorio.unesp.br:11449/72660Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:36Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Multiple minima hypersurfaces procedures for biomimetic ligands screening
title Multiple minima hypersurfaces procedures for biomimetic ligands screening
spellingShingle Multiple minima hypersurfaces procedures for biomimetic ligands screening
Mascini, M.
Box sizes
Carbaryl
Computation time
Experimental data
Good correlations
Hyper-surfaces
Molecular associations
Molecular dynamics methods
Molecular modeling algorithms
Program parameters
Screening tool
Semi-empirical methods
Biomimetics
Chemical bonds
Microsystems
Molecular dynamics
Peptides
Pesticides
Plasma waves
Sensors
Ligands
title_short Multiple minima hypersurfaces procedures for biomimetic ligands screening
title_full Multiple minima hypersurfaces procedures for biomimetic ligands screening
title_fullStr Multiple minima hypersurfaces procedures for biomimetic ligands screening
title_full_unstemmed Multiple minima hypersurfaces procedures for biomimetic ligands screening
title_sort Multiple minima hypersurfaces procedures for biomimetic ligands screening
author Mascini, M.
author_facet Mascini, M.
Del Carlo, M.
Compagnone, D.
Perez, G.
Montero-Cabrera, L. A.
Gonzalez, S.
Yamanaka, Hideko [UNESP]
author_role author
author2 Del Carlo, M.
Compagnone, D.
Perez, G.
Montero-Cabrera, L. A.
Gonzalez, S.
Yamanaka, Hideko [UNESP]
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv University of Teramo
University of Havana
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Mascini, M.
Del Carlo, M.
Compagnone, D.
Perez, G.
Montero-Cabrera, L. A.
Gonzalez, S.
Yamanaka, Hideko [UNESP]
dc.subject.por.fl_str_mv Box sizes
Carbaryl
Computation time
Experimental data
Good correlations
Hyper-surfaces
Molecular associations
Molecular dynamics methods
Molecular modeling algorithms
Program parameters
Screening tool
Semi-empirical methods
Biomimetics
Chemical bonds
Microsystems
Molecular dynamics
Peptides
Pesticides
Plasma waves
Sensors
Ligands
topic Box sizes
Carbaryl
Computation time
Experimental data
Good correlations
Hyper-surfaces
Molecular associations
Molecular dynamics methods
Molecular modeling algorithms
Program parameters
Screening tool
Semi-empirical methods
Biomimetics
Chemical bonds
Microsystems
Molecular dynamics
Peptides
Pesticides
Plasma waves
Sensors
Ligands
description In this work the interaction of the pesticide carbaryl with two groups of biomimetic ligands, peptides and MIPs was screened by multiple minima hypersurfaces (MMH) procedures, through the AM1 semiempirical method. Data related to the properties of the molecular association of the complex biomimetic ligand-pesticide were obtained and compared with another molecular modeling algorithm named Leapfrog, as included in the Sybyl software package, and experimental results from the literature, remarking good correlation between them. All important MMH program parameters (cells number, box size, conformers) were studied and optimized with the aim of getting the minimum computation time without losing the correlation with experimental data. The data demonstrated that MMH approach can be used as a fast biomimetic ligand screening tool for MIPs. In the case of peptides the computation time was not comparable with the molecular dynamics methods conventionally used for this approach. © 2011 Springer Science+Business Media B.V.
publishDate 2011
dc.date.none.fl_str_mv 2011-09-08
2014-05-27T11:25:59Z
2014-05-27T11:25:59Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-94-007-1324-6_65
Lecture Notes in Electrical Engineering, v. 91 LNEE, p. 403-407.
1876-1100
1876-1119
http://hdl.handle.net/11449/72660
10.1007/978-94-007-1324-6_65
2-s2.0-80052354853
1923726000036625
url http://dx.doi.org/10.1007/978-94-007-1324-6_65
http://hdl.handle.net/11449/72660
identifier_str_mv Lecture Notes in Electrical Engineering, v. 91 LNEE, p. 403-407.
1876-1100
1876-1119
10.1007/978-94-007-1324-6_65
2-s2.0-80052354853
1923726000036625
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lecture Notes in Electrical Engineering
0,135
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 403-407
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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