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Doctoral Thesis
DOI
https://doi.org/10.11606/T.75.2021.tde-26072021-103302
Document
Author
Full name
Aldineia Pereira da Silva
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2021
Supervisor
Committee
Silva, Albérico Borges Ferreira da (President)
Andricopulo, Adriano Defini
Ferreira, Márcia Miguel Castro
Maltarollo, Vinicius Gonçalves
Weber, Karen Cacilda
Title in Portuguese
Técnicas computacionais aplicadas a uma série de antagonistas do receptor 5-HT6 - potencial alvo para a doença de Alzheimer
Keywords in Portuguese
doença de Alzheimer
planejamento de fármacos
QSAR
receptor 5-HT6
Abstract in Portuguese
Os receptores acoplados à proteína G (GPCR) são alvos de aproximadamente um terço dos medicamentos atualmente comercializados no mundo. Nos últimos anos, o receptor 5-HT6 (família GPCR) vem atraindo atenção devido à sua localização em áreas do cérebro envolvendo memória e aprendizagem, o colocando como um dos principais alvos na busca por novas abordagens terapêuticas anti-Alzheimer, uma vez que os medicamentos em uso não são eficazes. Com o número crescente de idosos acometidos por essa enfermidade, especialmente no Brasil, assomado à inefetividade dos tratamentos disponíveis, é urgente que se investiguem novas terapias medicamentosas para aplacar esse problema. Nesta linha, acredita-se que a administração de antagonistas do receptor 5-HT6 pode contribuir para mitigar os problemas relacionados à perda de memória e à deterioração da aprendizagem, efeitos esses associados à doença de Alzheimer. Para aumentar as chances de se obter terapias medicamentosas eficazes diante das perdas amnésicas decorrentes dessa enfermidade, planejou-se novos antagonistas do receptor 5-HT6 lançando-se mão de abordagem in Silico. Os novos compostos foram submetidos aos modelos QSARs aqui gerados e promissores valores de atividade biológica foram obtidos. Esses achados, somados ao ótimo perfil ADME/Tox alcançado via aplicação de ferramentas computacionais, qualificam esses potenciais antagonistas para futuras abordagens experimentais, o que poderiam confirmar suas características drogáveis.
Title in English
Computational techniques applied to a series of 5-HT 6 receptor antagonists - target potential for Alzheimer´s disease
Keywords in English
5-HT6 receptor
Alzheimer's disease
drug design
QSAR
Abstract in English
G Protein-coupled receptors (GPCRs) are targets for approximately one-third of the drugs currently marketed worldwide. Over recent years, the 5-HT6 receptor (GPCR family) has been attracted attention due to locations in brain regions involving learning and memory processes, reason why it became one of the main targets in the race for the discovery of new anti-Alzheimer therapeutic approaches once the ongoing drugs are not effective. With the growing number of elderly people affected by this disease, especially in Brazil, in addition to the ineffectiveness of available treatments, it is urgent that new pharmacological treatments be investigated to mitigate this problem. Addressing this problem, it is believed that the administration of 5-HT6 receptor antagonists might mitigate problems related to memory loss and impaired learning, effects associated with Alzheimer's disease. To increase the chances of obtaining effective medical countermeasures against amnesic losses due to this disease, new antagonists of the 5-HT6 receptor were designed using in Silico approach. The new compounds were submitted to the QSARs models and excellent values of biological activity were obtained. Finally, the ADME/Tox profile of these compounds was ascertained by the applications of computational tools and the outcomes achieved qualify them for subsequently experimental procedures, which could confirm the antagonistic effects of these compounds as well as their drug-like properties.
 
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Publishing Date
2021-07-26
 
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