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Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling

Sirtuin 1 (SIRT1) enzyme regulates major cell activities, and its activation offers lucrative therapeutic potentials for aging diseases including Alzheimer's disease (AD). Regarding the global aging society, continual attention has been given to various chemical scaffolds as a source for the di...

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Autores principales: Pratiwi, Reny, Prachayasittikul, Veda, Prachayasittikul, Supaluk, Nantasenamat, Chanin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Leibniz Research Centre for Working Environment and Human Factors 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558509/
https://www.ncbi.nlm.nih.gov/pubmed/31217784
http://dx.doi.org/10.17179/excli2019-1274
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author Pratiwi, Reny
Prachayasittikul, Veda
Prachayasittikul, Supaluk
Nantasenamat, Chanin
author_facet Pratiwi, Reny
Prachayasittikul, Veda
Prachayasittikul, Supaluk
Nantasenamat, Chanin
author_sort Pratiwi, Reny
collection PubMed
description Sirtuin 1 (SIRT1) enzyme regulates major cell activities, and its activation offers lucrative therapeutic potentials for aging diseases including Alzheimer's disease (AD). Regarding the global aging society, continual attention has been given to various chemical scaffolds as a source for the discovery of novel SIRT1 activators since the discovery of the pioneer activator, resveratrol. Understanding structure-activity relationship (SAR) is essential for screening, designing as well as improving the properties of drugs. In this study, an in silico approach based on quantitative structure-activity relationship (QSAR) modeling, was employed for understanding the SAR of currently available SIRT1 fused-aromatic activators (i.e., imidazothiazole, oxazolopyridine, and azabenzimidazole analogs). Three QSAR models constructed using multiple linear regression (MLR) provided good predictive performance (R(2)(LOOCV) = 0.729 - 0.863 and RMSE(LOOCV) = 0.165 - 0.325). An additional novel set of 181 structurally modified compounds were rationally designed according to key descriptors deduced from the QSAR findings and their SIRT1 activities were predicted using the constructed models. In overview, the study provides insightful SAR findings of currently available SIRT1 activators that would be useful for guiding the rational design, screening, and development of further potent SIRT1 activators for managing age-related clinical conditions. A series of promising compounds as well as important scaffolds and molecular properties for potent SIRT1 activator were highlighted. This study demonstrated the efficacious role of QSAR-driven structural modification for the rational design of novel leads.
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spelling pubmed-65585092019-06-19 Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling Pratiwi, Reny Prachayasittikul, Veda Prachayasittikul, Supaluk Nantasenamat, Chanin EXCLI J Original Article Sirtuin 1 (SIRT1) enzyme regulates major cell activities, and its activation offers lucrative therapeutic potentials for aging diseases including Alzheimer's disease (AD). Regarding the global aging society, continual attention has been given to various chemical scaffolds as a source for the discovery of novel SIRT1 activators since the discovery of the pioneer activator, resveratrol. Understanding structure-activity relationship (SAR) is essential for screening, designing as well as improving the properties of drugs. In this study, an in silico approach based on quantitative structure-activity relationship (QSAR) modeling, was employed for understanding the SAR of currently available SIRT1 fused-aromatic activators (i.e., imidazothiazole, oxazolopyridine, and azabenzimidazole analogs). Three QSAR models constructed using multiple linear regression (MLR) provided good predictive performance (R(2)(LOOCV) = 0.729 - 0.863 and RMSE(LOOCV) = 0.165 - 0.325). An additional novel set of 181 structurally modified compounds were rationally designed according to key descriptors deduced from the QSAR findings and their SIRT1 activities were predicted using the constructed models. In overview, the study provides insightful SAR findings of currently available SIRT1 activators that would be useful for guiding the rational design, screening, and development of further potent SIRT1 activators for managing age-related clinical conditions. A series of promising compounds as well as important scaffolds and molecular properties for potent SIRT1 activator were highlighted. This study demonstrated the efficacious role of QSAR-driven structural modification for the rational design of novel leads. Leibniz Research Centre for Working Environment and Human Factors 2019-04-05 /pmc/articles/PMC6558509/ /pubmed/31217784 http://dx.doi.org/10.17179/excli2019-1274 Text en Copyright © 2019 Pratiwi et al. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (http://creativecommons.org/licenses/by/4.0/) You are free to copy, distribute and transmit the work, provided the original author and source are credited.
spellingShingle Original Article
Pratiwi, Reny
Prachayasittikul, Veda
Prachayasittikul, Supaluk
Nantasenamat, Chanin
Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling
title Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling
title_full Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling
title_fullStr Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling
title_full_unstemmed Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling
title_short Rational design of novel sirtuin 1 activators via structure-activity insights from application of QSAR modeling
title_sort rational design of novel sirtuin 1 activators via structure-activity insights from application of qsar modeling
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558509/
https://www.ncbi.nlm.nih.gov/pubmed/31217784
http://dx.doi.org/10.17179/excli2019-1274
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