Understanding the molecular bases behind congenital disorders of glycosylation

Bibliographic Details
Main Author: Oliveira, Tiago André Cunha
Publication Date: 2023
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/24780
Summary: Congenital disorders of glycosylation (CDG) result from mutations affecting proteins involved in glycosylation pathways. Phosphomannomutase 2 (PMM2) deficiency (PMM2-CDG), the most common N-glycosylation disorder, induces hypoglycosylation of several proteins leading to multisystem involvement. This disease is related to a huge variety of mutante variants and a broad phenotypic spectrum, making genitype-phenotype correlations difficult. Mutations in PMM2 can affect is structure and function and may reveal a specific phenotype, One possible strategy for studying genotype-phenotype correlations would be to apply computational methods to assess the structural changes caused by amino acid substitutions. This would allow further development of personalised therapies for na untreatable disease. With the aim of developing na in silico protocol to analyse the impacto f diferente mutations on PMM2., several three-dimensional structures of mutated PMM2 were modelled and molecular Dynamics (MD) simulations were analysed to assess the impact of these variants at he energetic and molecular level on the normal activity of PMM2, including dimerization, folding, substrate-binding and structure-stability. The results predict the effect of missense mutations on the function of PMM2, in particular on the free energy of dimerization and folding of the protein.
id RCAP_d4edf37a66f36717a36028b9e9ab1ca6
oai_identifier_str oai:recipp.ipp.pt:10400.22/24780
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Understanding the molecular bases behind congenital disorders of glycosylationComputacional methodsMolecular dynamicsGenotype-phenotype correlationPMM2PMM2-CDGCongenital disorders of glycosylation (CDG) result from mutations affecting proteins involved in glycosylation pathways. Phosphomannomutase 2 (PMM2) deficiency (PMM2-CDG), the most common N-glycosylation disorder, induces hypoglycosylation of several proteins leading to multisystem involvement. This disease is related to a huge variety of mutante variants and a broad phenotypic spectrum, making genitype-phenotype correlations difficult. Mutations in PMM2 can affect is structure and function and may reveal a specific phenotype, One possible strategy for studying genotype-phenotype correlations would be to apply computational methods to assess the structural changes caused by amino acid substitutions. This would allow further development of personalised therapies for na untreatable disease. With the aim of developing na in silico protocol to analyse the impacto f diferente mutations on PMM2., several three-dimensional structures of mutated PMM2 were modelled and molecular Dynamics (MD) simulations were analysed to assess the impact of these variants at he energetic and molecular level on the normal activity of PMM2, including dimerization, folding, substrate-binding and structure-stability. The results predict the effect of missense mutations on the function of PMM2, in particular on the free energy of dimerization and folding of the protein.Sousa, SérgioFerraz, RicardoREPOSITÓRIO P.PORTOOliveira, Tiago André Cunha2023-11-222026-11-22T00:00:00Z2023-11-22T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.22/24780urn:tid:203472993enginfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:15:13Zoai:recipp.ipp.pt:10400.22/24780Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:44:53.070920Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Understanding the molecular bases behind congenital disorders of glycosylation
title Understanding the molecular bases behind congenital disorders of glycosylation
spellingShingle Understanding the molecular bases behind congenital disorders of glycosylation
Oliveira, Tiago André Cunha
Computacional methods
Molecular dynamics
Genotype-phenotype correlation
PMM2
PMM2-CDG
title_short Understanding the molecular bases behind congenital disorders of glycosylation
title_full Understanding the molecular bases behind congenital disorders of glycosylation
title_fullStr Understanding the molecular bases behind congenital disorders of glycosylation
title_full_unstemmed Understanding the molecular bases behind congenital disorders of glycosylation
title_sort Understanding the molecular bases behind congenital disorders of glycosylation
author Oliveira, Tiago André Cunha
author_facet Oliveira, Tiago André Cunha
author_role author
dc.contributor.none.fl_str_mv Sousa, Sérgio
Ferraz, Ricardo
REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Oliveira, Tiago André Cunha
dc.subject.por.fl_str_mv Computacional methods
Molecular dynamics
Genotype-phenotype correlation
PMM2
PMM2-CDG
topic Computacional methods
Molecular dynamics
Genotype-phenotype correlation
PMM2
PMM2-CDG
description Congenital disorders of glycosylation (CDG) result from mutations affecting proteins involved in glycosylation pathways. Phosphomannomutase 2 (PMM2) deficiency (PMM2-CDG), the most common N-glycosylation disorder, induces hypoglycosylation of several proteins leading to multisystem involvement. This disease is related to a huge variety of mutante variants and a broad phenotypic spectrum, making genitype-phenotype correlations difficult. Mutations in PMM2 can affect is structure and function and may reveal a specific phenotype, One possible strategy for studying genotype-phenotype correlations would be to apply computational methods to assess the structural changes caused by amino acid substitutions. This would allow further development of personalised therapies for na untreatable disease. With the aim of developing na in silico protocol to analyse the impacto f diferente mutations on PMM2., several three-dimensional structures of mutated PMM2 were modelled and molecular Dynamics (MD) simulations were analysed to assess the impact of these variants at he energetic and molecular level on the normal activity of PMM2, including dimerization, folding, substrate-binding and structure-stability. The results predict the effect of missense mutations on the function of PMM2, in particular on the free energy of dimerization and folding of the protein.
publishDate 2023
dc.date.none.fl_str_mv 2023-11-22
2023-11-22T00:00:00Z
2026-11-22T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/24780
urn:tid:203472993
url http://hdl.handle.net/10400.22/24780
identifier_str_mv urn:tid:203472993
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833600677456117760