Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana

Detalhes bibliográficos
Ano de defesa: 2025
Autor(a) principal: Barros, João Eudes Lemos de
Orientador(a): Silva, João Hermínio Martins da
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Link de acesso: http://repositorio.ufc.br/handle/riufc/81016
Resumo: Multiple Sclerosis (MS) is an autoimmune, inflammatory, and neurodegenerative disease and the leading cause of non-traumatic neurological disability in young adults. Its incidence ranges from over 100 cases per 100,000 inhabitants in North America and Western Europe to less than 30 cases per 100,000 inhabitants in equatorial regions, with an estimated 40,000 cases in Brazil. MS involves leukocytes, chemokines, and cytokines such as TNF-³, IFN-´, and IL-17, as well as ³4³1 integrin, which facilitates lymphocyte migration into the central nervous system (CNS) via the VCAM-1 receptor. Natalizumab (NTZ) inhibits this interaction and serves as an effective immunotherapy; however, its prolonged use compromises immune surveillance, increasing susceptibility to opportunistic infections and reactivation of the John Cunningham (JC) polyomavirus, leading to Progressive Multifocal Leukoencephalopathy (PML). Additionally, NTZ has side effects such as bleeding, dizziness, nausea, and muscle stiffness, along with high costs and a lack of exclusive selectivity for MS, as it also interacts with ³4³7 integrin, which is associated with Crohn9s disease. To overcome these limitations, nanobodies (VHHs) have emerged as a promising alternative driven by in silico tools and deep learning algorithms that enable faster and more cost-effective production. In this study, we developed an initial strategy to create VHHs that mimic NTZ while preserving its properties and specificity. Initially, SASA calculations (via FreeSASA) were used to characterize the VH/NTZ-³4 interface. Native VHHs (VHH-IN) were selected from the SAbDab database, prioritizing those with structurally similar CDR3 regions to VH/NTZ. Three grafting strategies were employed to transfer CDRs from VH/NTZ to VHHs: ENXSEQ, ENXSDR, and ENXEST. ENXSEQ unified the VH/NTZ CDRs into the frameworks (FR) of the VHHs by modeling in NanobodyBuilder2. The VHH/NTZ-³4 complexes were generated via molecular docking using HADDOCK 2.4, and the best complexes were selected based on the DockQ score. Although ENXSDR better preserved the properties of VHH-IN but had lower specificity for ³4, ENXEST exhibited intermediate conservation and greater VHH/NTZ-³4 complex formation. In contrast, ENXSEQ was the least conservative, but showed intermediate specificity for the antigen. These results indicate that hybrid VHHs maintain specificity for the ³4 subunit, varying according to the grafting strategy, with ENXSDR being the most promising. However, further optimization is required to enhance specificity.
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spelling Barros, João Eudes Lemos deSilva, João Hermínio Martins da2025-05-23T15:29:55Z2025-05-23T15:29:55Z2025BARROS, João Eudes Lemos de. Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana. 2025. 160 f. Dissertação (Mestrado em Biotecnologia de Recursos Naturais) – Programa de Pós-Graduação em Biotecnologia de Recursos Naturais, Universidade Federal do Ceará, Fortaleza, 2025.http://repositorio.ufc.br/handle/riufc/81016Multiple Sclerosis (MS) is an autoimmune, inflammatory, and neurodegenerative disease and the leading cause of non-traumatic neurological disability in young adults. Its incidence ranges from over 100 cases per 100,000 inhabitants in North America and Western Europe to less than 30 cases per 100,000 inhabitants in equatorial regions, with an estimated 40,000 cases in Brazil. MS involves leukocytes, chemokines, and cytokines such as TNF-³, IFN-´, and IL-17, as well as ³4³1 integrin, which facilitates lymphocyte migration into the central nervous system (CNS) via the VCAM-1 receptor. Natalizumab (NTZ) inhibits this interaction and serves as an effective immunotherapy; however, its prolonged use compromises immune surveillance, increasing susceptibility to opportunistic infections and reactivation of the John Cunningham (JC) polyomavirus, leading to Progressive Multifocal Leukoencephalopathy (PML). Additionally, NTZ has side effects such as bleeding, dizziness, nausea, and muscle stiffness, along with high costs and a lack of exclusive selectivity for MS, as it also interacts with ³4³7 integrin, which is associated with Crohn9s disease. To overcome these limitations, nanobodies (VHHs) have emerged as a promising alternative driven by in silico tools and deep learning algorithms that enable faster and more cost-effective production. In this study, we developed an initial strategy to create VHHs that mimic NTZ while preserving its properties and specificity. Initially, SASA calculations (via FreeSASA) were used to characterize the VH/NTZ-³4 interface. Native VHHs (VHH-IN) were selected from the SAbDab database, prioritizing those with structurally similar CDR3 regions to VH/NTZ. Three grafting strategies were employed to transfer CDRs from VH/NTZ to VHHs: ENXSEQ, ENXSDR, and ENXEST. ENXSEQ unified the VH/NTZ CDRs into the frameworks (FR) of the VHHs by modeling in NanobodyBuilder2. The VHH/NTZ-³4 complexes were generated via molecular docking using HADDOCK 2.4, and the best complexes were selected based on the DockQ score. Although ENXSDR better preserved the properties of VHH-IN but had lower specificity for ³4, ENXEST exhibited intermediate conservation and greater VHH/NTZ-³4 complex formation. In contrast, ENXSEQ was the least conservative, but showed intermediate specificity for the antigen. These results indicate that hybrid VHHs maintain specificity for the ³4 subunit, varying according to the grafting strategy, with ENXSDR being the most promising. However, further optimization is required to enhance specificity.A esclerose múltipla (EM) é uma doença autoimune, inflamatória e neurodegenerativa, sendo a principal causa de incapacidade neurológica não traumática em jovens adultos. Sua incidência varia de mais de 100 casos por 100.000 habitantes na América do Norte e Europa Ocidental para menos de 30 por 100.000 em regiões equatoriais, com cerca de 40.000 casos estimados no Brasil. A EM envolve leucócitos, quimiocinas e citocinas como TNF-³, IFN-´ e IL-17, além da integrina ³4³1, que facilita a migração linfocitária para o sistema nervoso central (SNC) via receptor VCAM-1. O Natalizumabe (NTZ) inibe essa interação, sendo uma imunoterapia eficaz, mas seu uso prolongado compromete a vigilância imunológica, favorecendo infecções oportunistas e a reativação do poliomavírus John Cunningham (JC), levando à Leucoencefalopatia Multifocal Progressiva (LMP). Além disso, apresenta efeitos colaterais como sangramentos, tontura, náusea e rigidez muscular, alto custo e falta de seletividade exclusiva para a EM, interagindo também com a integrina ³4³7, associada à Doença de Crohn. Para superar essas limitações, nanocorpos (VHHs) surgem como alternativa propícia, impulsionados por ferramentas in silico e algoritmos de deep learning, que viabilizam produção rápida e de menor custo. Este estudo desenvolveu uma estratégia iniciais para criar VHHs que mimetizam o NTZ, preservando suas propriedades e especificidade. Inicialmente, cálculos de SASA (via FreeSASA) caracterizaram a interface VH/NTZ-³4. Em seguida, VHHs nativos (VHH-IN) foram selecionados do banco SAbDab, priorizando aqueles com CDR3 estruturalmente semelhante ao VH/NTZ. Três estratégias de enxerto (grafting) foram empregadas para transferir as CDRs do VH/NTZ para os VHHs: ENXSEQ, ENXSDR e ENXEST. O ENXSEQ unificou as CDRs do VH/NTZ nos frameworks (FR) dos VHHs via modelagem no NanobodyBuilder2. Os complexos VHH/NTZ-³4 foram gerados via docking molecular no HADDOCK 2.4, e os melhores selecionados com base na pontuação DockQ. Enquanto o ENXSDR preservou melhor as propriedades dos VHH-IN, mas teve menor especificidade para ³4, e o ENXEST expos conservação intermediária e maior formação de complexo VHH/NTZ-³4. Já o ENXSEQ foi o menos conservador, mas com especificidade intermediária ao antígeno. Os resultados indicam que os VHHs híbridos mantêm especificidade à subunidade ³4, variando conforme a estratégia de enxerto, sendo o ENXSDR os mais oportunos, necessitando otimização para aprimorar sua especificidade.Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humanainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisBioinformáticaNanocorposNatalizumabeNeurodegeneraçãoMiméticosBioinformaticsNanobodiesNatalizumabNeurodegenerationMimeticsinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFChttps://orcid.org/0000-0003-1829-795Xhttp://lattes.cnpq.br/0746854254923395https://orcid.org/0000-0003-1534-9857http://lattes.cnpq.br/46140965388550022025-05-23ORIGINAL2025_dis_jelbarros.pdf2025_dis_jelbarros.pdfapplication/pdf11342676http://repositorio.ufc.br/bitstream/riufc/81016/3/2025_dis_jelbarros.pdf6af5d6a5d11f9b8abac1827df0275cbaMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.ufc.br/bitstream/riufc/81016/4/license.txt8a4605be74aa9ea9d79846c1fba20a33MD54riufc/810162025-05-23 12:29:57.029oai:repositorio.ufc.br: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Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2025-05-23T15:29:57Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.pt_BR.fl_str_mv Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
title Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
spellingShingle Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
Barros, João Eudes Lemos de
Bioinformática
Nanocorpos
Natalizumabe
Neurodegeneração
Miméticos
Bioinformatics
Nanobodies
Natalizumab
Neurodegeneration
Mimetics
title_short Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
title_full Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
title_fullStr Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
title_full_unstemmed Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
title_sort Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana
author Barros, João Eudes Lemos de
author_facet Barros, João Eudes Lemos de
author_role author
dc.contributor.author.fl_str_mv Barros, João Eudes Lemos de
dc.contributor.advisor1.fl_str_mv Silva, João Hermínio Martins da
contributor_str_mv Silva, João Hermínio Martins da
dc.subject.ptbr.pt_BR.fl_str_mv Bioinformática
Nanocorpos
Natalizumabe
Neurodegeneração
Miméticos
topic Bioinformática
Nanocorpos
Natalizumabe
Neurodegeneração
Miméticos
Bioinformatics
Nanobodies
Natalizumab
Neurodegeneration
Mimetics
dc.subject.en.pt_BR.fl_str_mv Bioinformatics
Nanobodies
Natalizumab
Neurodegeneration
Mimetics
description Multiple Sclerosis (MS) is an autoimmune, inflammatory, and neurodegenerative disease and the leading cause of non-traumatic neurological disability in young adults. Its incidence ranges from over 100 cases per 100,000 inhabitants in North America and Western Europe to less than 30 cases per 100,000 inhabitants in equatorial regions, with an estimated 40,000 cases in Brazil. MS involves leukocytes, chemokines, and cytokines such as TNF-³, IFN-´, and IL-17, as well as ³4³1 integrin, which facilitates lymphocyte migration into the central nervous system (CNS) via the VCAM-1 receptor. Natalizumab (NTZ) inhibits this interaction and serves as an effective immunotherapy; however, its prolonged use compromises immune surveillance, increasing susceptibility to opportunistic infections and reactivation of the John Cunningham (JC) polyomavirus, leading to Progressive Multifocal Leukoencephalopathy (PML). Additionally, NTZ has side effects such as bleeding, dizziness, nausea, and muscle stiffness, along with high costs and a lack of exclusive selectivity for MS, as it also interacts with ³4³7 integrin, which is associated with Crohn9s disease. To overcome these limitations, nanobodies (VHHs) have emerged as a promising alternative driven by in silico tools and deep learning algorithms that enable faster and more cost-effective production. In this study, we developed an initial strategy to create VHHs that mimic NTZ while preserving its properties and specificity. Initially, SASA calculations (via FreeSASA) were used to characterize the VH/NTZ-³4 interface. Native VHHs (VHH-IN) were selected from the SAbDab database, prioritizing those with structurally similar CDR3 regions to VH/NTZ. Three grafting strategies were employed to transfer CDRs from VH/NTZ to VHHs: ENXSEQ, ENXSDR, and ENXEST. ENXSEQ unified the VH/NTZ CDRs into the frameworks (FR) of the VHHs by modeling in NanobodyBuilder2. The VHH/NTZ-³4 complexes were generated via molecular docking using HADDOCK 2.4, and the best complexes were selected based on the DockQ score. Although ENXSDR better preserved the properties of VHH-IN but had lower specificity for ³4, ENXEST exhibited intermediate conservation and greater VHH/NTZ-³4 complex formation. In contrast, ENXSEQ was the least conservative, but showed intermediate specificity for the antigen. These results indicate that hybrid VHHs maintain specificity for the ³4 subunit, varying according to the grafting strategy, with ENXSDR being the most promising. However, further optimization is required to enhance specificity.
publishDate 2025
dc.date.accessioned.fl_str_mv 2025-05-23T15:29:55Z
dc.date.available.fl_str_mv 2025-05-23T15:29:55Z
dc.date.issued.fl_str_mv 2025
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.citation.fl_str_mv BARROS, João Eudes Lemos de. Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana. 2025. 160 f. Dissertação (Mestrado em Biotecnologia de Recursos Naturais) – Programa de Pós-Graduação em Biotecnologia de Recursos Naturais, Universidade Federal do Ceará, Fortaleza, 2025.
dc.identifier.uri.fl_str_mv http://repositorio.ufc.br/handle/riufc/81016
identifier_str_mv BARROS, João Eudes Lemos de. Planejamento in silico para a construção de nanocorpos (VHH) miméticos anti-integrina α4β1 (CD49d/CD29) humana. 2025. 160 f. Dissertação (Mestrado em Biotecnologia de Recursos Naturais) – Programa de Pós-Graduação em Biotecnologia de Recursos Naturais, Universidade Federal do Ceará, Fortaleza, 2025.
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