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Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations

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Resumo:This study is dedicated to unravelling the potential of Self-Assembled Peptides (SAP) in the realm of biotechnological applications. Peptides, characterized by their chemical versatility, cost-effectiveness, and customizable structures, serve as promising building blocks for self-assembly. The investigation focuses on Surfactant-Like Peptides (SLPs), highlighting their pivotal roles in the interface of oil-water systems. These systems are particularly advantageous due to their ability to facilitate efficient emulsification, making them highly relevant for applications on cosmetics and pharmaceutical applications. Molecular Dynamics (MD) simulations emerge as a key tool, providing insights into the molecular forces orchestrating the self-assembly of these peptides. The study’s core objective is to delve into the molecular-level structure, interactions, and properties of SAP, leveraging multiscale Molecular Modelling methods offered by GROningen MAchine for Chemical Simulations (GROMACS) and AlphaFold2. By doing so, the research aims to evaluate SLPs amphiphilic properties, their self-assembly dynamics, and their ability to stabilize emulsions and encapsulate hydrophobic phases, pushing the boundaries of nanomaterial design and expanding their application in both biomedical and industrial domains, including cosmetics. For that, 27 SLPs were analyzed, with MD simulations conducted using distinct Force Fields (FFs) to assess their self-assembly capabilities and nanostructure formation potential. Specifically, six SLPs — A6K, F6D, G10D2, KV6, L6D2, and V6K2 — were examined in water-oil systems with avocado and sunflower oils. The MD simulation results highlight the significant influence of peptide structure and profile on surfactant performance. These simulations demonstrate the ability of these SLPs to self-assemble at the oil-water interface, reduce interfacial tension, and promote emulsification, confirming their role as effective natural emulsifiers.
Autores principais:Braguês, Mariana Rochinha
Assunto:Molecular Modelling Molecular Dynamics Surfactant-Like Peptides Biphasic Systems Nanomaterial Design GROMACS AlphaFold2 Modelagem Molecular Dinâmica Molecular Péptidos Tipo-Surfactante Sistemas Bifásicos Design de Nanomateriais
Ano:2024
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso embargado
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
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author Braguês, Mariana Rochinha
author_facet Braguês, Mariana Rochinha
author_role author
contributor_name_str_mv Cavaco-Paulo, Artur
Castro, Tarsila Gabriel
Universidade do Minho
country_str PT
creators_json_txt [{\"Person.name\":\"Braguês, Mariana Rochinha\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Cavaco-Paulo, Artur
Castro, Tarsila Gabriel
Universidade do Minho
datacite.creators.creator.creatorName.fl_str_mv Braguês, Mariana Rochinha
datacite.date.Accepted.fl_str_mv 2024-12-14T00:00:00Z
datacite.date.available.fl_str_mv 2027-12-14T00:00:00Z
datacite.date.embargoed.fl_str_mv 2027-12-14T00:00:00Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_f1cf
datacite.subjects.subject.fl_str_mv Molecular Modelling
Molecular Dynamics
Surfactant-Like Peptides
Biphasic Systems
Nanomaterial Design
GROMACS
AlphaFold2
Modelagem Molecular
Dinâmica Molecular
Péptidos Tipo-Surfactante
Sistemas Bifásicos
Design de Nanomateriais
datacite.titles.title.fl_str_mv Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
dc.contributor.none.fl_str_mv Cavaco-Paulo, Artur
Castro, Tarsila Gabriel
Universidade do Minho
dc.creator.none.fl_str_mv Braguês, Mariana Rochinha
dc.date.Accepted.fl_str_mv 2024-12-14T00:00:00Z
dc.date.available.fl_str_mv 2027-12-14T00:00:00Z
dc.date.embargoed.fl_str_mv 2027-12-14T00:00:00Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://hdl.handle.net/1822/99185
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by-sa/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_f1cf
dc.rights.rights.copyright.fl_str_mv embargoedAccess (3 Years)
dc.subject.none.fl_str_mv Molecular Modelling
Molecular Dynamics
Surfactant-Like Peptides
Biphasic Systems
Nanomaterial Design
GROMACS
AlphaFold2
Modelagem Molecular
Dinâmica Molecular
Péptidos Tipo-Surfactante
Sistemas Bifásicos
Design de Nanomateriais
dc.title.fl_str_mv Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description This study is dedicated to unravelling the potential of Self-Assembled Peptides (SAP) in the realm of biotechnological applications. Peptides, characterized by their chemical versatility, cost-effectiveness, and customizable structures, serve as promising building blocks for self-assembly. The investigation focuses on Surfactant-Like Peptides (SLPs), highlighting their pivotal roles in the interface of oil-water systems. These systems are particularly advantageous due to their ability to facilitate efficient emulsification, making them highly relevant for applications on cosmetics and pharmaceutical applications. Molecular Dynamics (MD) simulations emerge as a key tool, providing insights into the molecular forces orchestrating the self-assembly of these peptides. The study’s core objective is to delve into the molecular-level structure, interactions, and properties of SAP, leveraging multiscale Molecular Modelling methods offered by GROningen MAchine for Chemical Simulations (GROMACS) and AlphaFold2. By doing so, the research aims to evaluate SLPs amphiphilic properties, their self-assembly dynamics, and their ability to stabilize emulsions and encapsulate hydrophobic phases, pushing the boundaries of nanomaterial design and expanding their application in both biomedical and industrial domains, including cosmetics. For that, 27 SLPs were analyzed, with MD simulations conducted using distinct Force Fields (FFs) to assess their self-assembly capabilities and nanostructure formation potential. Specifically, six SLPs — A6K, F6D, G10D2, KV6, L6D2, and V6K2 — were examined in water-oil systems with avocado and sunflower oils. The MD simulation results highlight the significant influence of peptide structure and profile on surfactant performance. These simulations demonstrate the ability of these SLPs to self-assemble at the oil-water interface, reduce interfacial tension, and promote emulsification, confirming their role as effective natural emulsifiers.
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id rum_2f1dddb91b2f356da8366b6a83c2126e
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instname_str Universidade do Minho
language eng
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oai_identifier_str oai:repositorium.uminho.pt:1822/99185
organization_str_mv urn:organizationAcronym:repositorium
person_str_mv Braguês, Mariana Rochinha
publishDate 2024
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spelling engengThis study is dedicated to unravelling the potential of Self-Assembled Peptides (SAP) in the realm of biotechnological applications. Peptides, characterized by their chemical versatility, cost-effectiveness, and customizable structures, serve as promising building blocks for self-assembly. The investigation focuses on Surfactant-Like Peptides (SLPs), highlighting their pivotal roles in the interface of oil-water systems. These systems are particularly advantageous due to their ability to facilitate efficient emulsification, making them highly relevant for applications on cosmetics and pharmaceutical applications. Molecular Dynamics (MD) simulations emerge as a key tool, providing insights into the molecular forces orchestrating the self-assembly of these peptides. The study’s core objective is to delve into the molecular-level structure, interactions, and properties of SAP, leveraging multiscale Molecular Modelling methods offered by GROningen MAchine for Chemical Simulations (GROMACS) and AlphaFold2. By doing so, the research aims to evaluate SLPs amphiphilic properties, their self-assembly dynamics, and their ability to stabilize emulsions and encapsulate hydrophobic phases, pushing the boundaries of nanomaterial design and expanding their application in both biomedical and industrial domains, including cosmetics. For that, 27 SLPs were analyzed, with MD simulations conducted using distinct Force Fields (FFs) to assess their self-assembly capabilities and nanostructure formation potential. Specifically, six SLPs — A6K, F6D, G10D2, KV6, L6D2, and V6K2 — were examined in water-oil systems with avocado and sunflower oils. The MD simulation results highlight the significant influence of peptide structure and profile on surfactant performance. These simulations demonstrate the ability of these SLPs to self-assemble at the oil-water interface, reduce interfacial tension, and promote emulsification, confirming their role as effective natural emulsifiers.application/pdfengSelf-assembly peptides for biomedical applications unravelled by molecular dynamics simulationsBraguês, Mariana RochinhaCavaco-Paulo, ArturCastro, Tarsila GabrielHostingInstitutionOrganizationalUniversidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptURNurn:tid:2039985102024-12-142024-102027-12-14T00:00:00Z2024-12-14T00:00:00ZHandlehttps://hdl.handle.net/1822/99185http://purl.org/coar/access_right/c_f1cfembargoed accessMolecular ModellingMolecular DynamicsSurfactant-Like PeptidesBiphasic SystemsNanomaterial DesignGROMACSAlphaFold2Modelagem MolecularDinâmica MolecularPéptidos Tipo-SurfactanteSistemas BifásicosDesign de Nanomateriais19976656 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2024-12-14http://creativecommons.org/licenses/by-sa/4.0/embargoedAccess (3 Years)http://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://repositorium.uminho.pt/bitstreams/16df6105-4d0f-4654-95fd-5f19c0e8e9e8/download
spellingShingle Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
Braguês, Mariana Rochinha
Molecular Modelling
Molecular Dynamics
Surfactant-Like Peptides
Biphasic Systems
Nanomaterial Design
GROMACS
AlphaFold2
Modelagem Molecular
Dinâmica Molecular
Péptidos Tipo-Surfactante
Sistemas Bifásicos
Design de Nanomateriais
status SINGLETON
subject.fl_str_mv Molecular Modelling
Molecular Dynamics
Surfactant-Like Peptides
Biphasic Systems
Nanomaterial Design
GROMACS
AlphaFold2
Modelagem Molecular
Dinâmica Molecular
Péptidos Tipo-Surfactante
Sistemas Bifásicos
Design de Nanomateriais
title Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
title_full Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
title_fullStr Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
title_full_unstemmed Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
title_short Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
title_sort Self-assembly peptides for biomedical applications unravelled by molecular dynamics simulations
topic Molecular Modelling
Molecular Dynamics
Surfactant-Like Peptides
Biphasic Systems
Nanomaterial Design
GROMACS
AlphaFold2
Modelagem Molecular
Dinâmica Molecular
Péptidos Tipo-Surfactante
Sistemas Bifásicos
Design de Nanomateriais
topic_facet Molecular Modelling
Molecular Dynamics
Surfactant-Like Peptides
Biphasic Systems
Nanomaterial Design
GROMACS
AlphaFold2
Modelagem Molecular
Dinâmica Molecular
Péptidos Tipo-Surfactante
Sistemas Bifásicos
Design de Nanomateriais
url https://hdl.handle.net/1822/99185
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