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dc.contributor.authorLouzada, Sarah Hessing-
dc.date.accessioned2026-01-12T14:59:27Z-
dc.date.available2026-01-12T14:59:27Z-
dc.date.issued2025-09-16-
dc.identifier.citationLOUZADA, Sarah Hessing. Identificação de ligantes alostéricos da polimerase do vírus da dengue usando estratégias de SBDD e FBDD. 2025. 140 f. Dissertação (Mestrado em Química) - Instituto de Química, Universidade Federal Rural do Rio de Janeiro, Seropédica, 2025.pt_BR
dc.identifier.urihttps://rima.ufrrj.br/jspui/handle/20.500.14407/24342-
dc.description.abstractA dengue é uma arbovirose endêmica em regiões tropicais e subtropicais, cuja incidência tem se intensificado nas últimas décadas, especialmente devido às mudanças climáticas, representando um sério problema de saúde pública, agravado pela ausência de antivirais específicos licenciados. A proteína não estrutural 5 (NS5), uma polimerase de RNA dependente de RNA (RdRp) essencial na replicação viral, é altamente conservada entre sorotipos e sem homólogos em humanos, o que a torna um alvo estratégico para o desenvolvimento de fármacos. Neste trabalho, aplicou-se uma abordagem de triagem virtual baseada em estrutura por docagem, visando à identificação de ligantes do sítio alostérico N da NS5. Foi utilizada uma quimioteca inédita, não comercial, composta por 657 compostos derivados de dissertações e teses do Programa de Pós-Graduação em Química da UFRRJ. A triagem foi conduzida com o programa GOLD 2023.2.0, função de pontuação ChemPLP, utilizando a técnica de docagem em conjunto. As pontuações obtidas foram normalizadas por massa molecular e área superficial, a fim de selecionar fragmentos (massa<300 Da) e por √N (número de átomos diferentes de hidrogênios), a fim de reduzir viés relacionado ao tamanho molecular. Foram selecionados 23 compostos, sendo 17 fragmentos e 5 moléculas maiores. O ácido cinâmico, melhor fragmento no critério massa, foi otimizado por técnicas de crescimento de fragmentos, gerando o ligante ácido (E)-3-(3-(2-carboxivinil)fenoxi)benzóico como o derivado mais promissor. Os compostos maiores destacaram-se por estabelecer interações relevantes com resíduos-chave do sítio, como Arg729, Thr794, Trp795 e His800, incluindo ligações de hidrogênio e interações cátion–π. As entalpias de interação foram estimadas com o método semiempírico PM7 (MOPAC2016), considerando solvente implícito, revelando valores de até -96 kcal/mol para o ácido (E)-3-(3- (2-carboxivinil)fenoxi)benzóico, o que supera o valor dos inibidores de referência. Entre os compostos maiores, dois atendem integralmente à regra dos cinco de Lipinski, sugerindo potencial para administração oral e previsão de toxicidade comparável ou melhor à dos inibidores de referência. Nesse contexto, destaca-se a série PPGQ2000701. A otimização dos fragmentos também levou a melhora do perfil farmacocinético, eliminando a previsão de interação com CYPs. Os resultados indicam que compostos da quimioteca do PPGQ-UFRRJ são bons candidatos a inibidores da NS5 do DENV e estruturas iniciais promissoras para o planejamento de fármacos. Além disso, as técnicas de design de fármacos baseada em fragmentos (FBDD) se mostraram eficazes em melhorar os perfis preditos de interação e farmacocinético dos ligantes.pt_BR
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESpt_BR
dc.languageporpt_BR
dc.publisherUniversidade Federal Rural do Rio de Janeiropt_BR
dc.subjectDenguept_BR
dc.subjectPolimerasept_BR
dc.subjectTriagem Virtualpt_BR
dc.subjectPolymerasept_BR
dc.subjectVirtual Screening;pt_BR
dc.titleIdentificação de ligantes alostéricos da polimerase do vírus da dengue usando estratégias de SBDD e FBDDpt_BR
dc.title.alternativeIdentification of allosteric ligands of dengue virus polymerase using SBDD and FBDD strategiesen
dc.typeDissertaçãopt_BR
dc.description.abstractOtherDengue is an arbovirus endemic in tropical and subtropical regions. Its incidence has intensified in recent decades, especially due to climate change. It represents a serious public health problem, exacerbated by the lack of licensed specific antivirals. Nonstructural protein 5 (NS5), an RNA-dependent RNA polymerase (RdRp) essential for viral replication, is highly conserved across serotypes and has no homologues in humans, making it a strategic target for drug development. In this work, we applied a virtual screening approach based on structure docking to identify ligands for the N allosteric site of NS5. We used a novel, non-commercial chemical library of 657 compounds derived from dissertations and theses from the Graduate Program in Chemistry at UFRRJ. Screening was conducted with the GOLD 2023.2.0 program, ChemPLP scoring function, and the ensemble docking technique. The scores obtained were normalized by molecular mass and surface area to select fragments (mass <300 Da) and by √N (number of non-hydrogen atoms) to reduce bias related to molecular size. Twenty-three compounds were selected, 17 fragments and 5 larger molecules. Cinnamic acid, the best fragment in terms of mass, was optimized by fragment growth techniques, generating the ligand (E)-3-(3-(2- carboxyvinyl)phenoxy)benzoic acid as the most promising derivative. The larger compounds stood out for establishing relevant interactions with key residues of the site, such as Arg729, Thr794, Trp795, and His800, including hydrogen bonds and cation–π interactions. Interaction enthalpies were estimated using the PM7 semiempirical method (MOPAC2016), considering implicit solvent, revealing values up to -96 kcal/mol for (E)-3-(3-(2- carboxyvinyl)phenoxy)benzoic acid, exceeding the value of reference inhibitors. Among the larger compounds, two fully comply with Lipinski's rule of five, suggesting potential for oral administration and predicted toxicity comparable to or better than that of reference inhibitors. In this context, the PPGQ2000701 series stands out. Fragment optimization also led to improved pharmacokinetic profiles, eliminating the predicted interaction with CYPs. The results indicate that compounds from the PPGQ-UFRRJ library are good candidates for DENV NS5 inhibitors and promising starting structures for drug development. Furthermore, fragment- based drug design (FBDD) techniques proved effective in improving the predicted interaction and pharmacokinetic profiles of the ligands.en
dc.contributor.advisor1Sant'Anna, Carlos Mauricio Rabello de-
dc.contributor.advisor1IDhttps://orcid.org/0000-0003-1989-5038pt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/2087099684752643pt_BR
dc.contributor.referee1Sant'Anna, Carlos Mauricio Rabello de-
dc.contributor.referee1IDhttps://orcid.org/0000-0003-1989-5038pt_BR
dc.contributor.referee1Latteshttp://lattes.cnpq.br/2087099684752643pt_BR
dc.contributor.referee2Albuquerque, Magaly Girão-
dc.contributor.referee2Latteshttp://lattes.cnpq.br/0780841238637304pt_BR
dc.contributor.referee3Lacerda, Renata Barbosa-
dc.contributor.referee3IDhttps://orcid.org/0000-0002-6185-3408pt_BR
dc.contributor.referee3Latteshttp://lattes.cnpq.br/2068820144272983pt_BR
dc.creator.Latteshttp://lattes.cnpq.br/5578501819908156pt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentInstituto de Químicapt_BR
dc.publisher.initialsUFRRJpt_BR
dc.publisher.programPrograma de Pós-Graduação em Químicapt_BR
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