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Designing Potent α-Glucosidase Inhibitors: A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives
[Image: see text] Nineteen biscoumarins were synthesized, well-characterized, and evaluated against α-glucosidases in vitro. Of these, six compounds (10, 12, 16, and 17–19) were newly synthesized and not previously reported in the chemical literature. The majority of the synthesized derivatives demo...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373460/ https://www.ncbi.nlm.nih.gov/pubmed/37521599 http://dx.doi.org/10.1021/acsomega.3c02868 |
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author | Phan, Thi-Hong-Truc Hengphasatporn, Kowit Shigeta, Yasuteru Xie, Wanting Maitarad, Phornphimon Rungrotmongkol, Thanyada Chavasiri, Warinthorn |
author_facet | Phan, Thi-Hong-Truc Hengphasatporn, Kowit Shigeta, Yasuteru Xie, Wanting Maitarad, Phornphimon Rungrotmongkol, Thanyada Chavasiri, Warinthorn |
author_sort | Phan, Thi-Hong-Truc |
collection | PubMed |
description | [Image: see text] Nineteen biscoumarins were synthesized, well-characterized, and evaluated against α-glucosidases in vitro. Of these, six compounds (10, 12, 16, and 17–19) were newly synthesized and not previously reported in the chemical literature. The majority of the synthesized derivatives demonstrated significant inhibitory activity. A quantitative structure–activity relationship (QSAR) model was developed, revealing a strong correlation between the anti-α-glucosidase activity and selected molecular descriptors. Based on this model, two new compounds (18 and 19) were designed, which exhibited the strongest inhibition with IC(50) values of 0.62 and 1.21 μM, respectively, when compared to the positive control (acarbose) with an IC(50) value of 93.63 μM. Enzyme kinetic studies of compounds 18 and 19 revealed their competitive inhibition with K(i) values of 3.93 and 1.80 μM, respectively. Computational studies demonstrated that compound 18 could be inserted into the original binding site (OBS) of α-glucosidase MAL12 and form multiple hydrophobic interactions with nearby amino acids, with the bromo group playing an essential role in enhancing the binding strength and stability at the OBS of the enzyme based on the quantum mechanical calculations using the fragment molecular orbital method. These findings provide valuable insights into the design of potent α-glucosidase inhibitors, which may have potential therapeutic applications in the treatment of diabetes and related diseases. |
format | Online Article Text |
id | pubmed-10373460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-103734602023-07-28 Designing Potent α-Glucosidase Inhibitors: A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives Phan, Thi-Hong-Truc Hengphasatporn, Kowit Shigeta, Yasuteru Xie, Wanting Maitarad, Phornphimon Rungrotmongkol, Thanyada Chavasiri, Warinthorn ACS Omega [Image: see text] Nineteen biscoumarins were synthesized, well-characterized, and evaluated against α-glucosidases in vitro. Of these, six compounds (10, 12, 16, and 17–19) were newly synthesized and not previously reported in the chemical literature. The majority of the synthesized derivatives demonstrated significant inhibitory activity. A quantitative structure–activity relationship (QSAR) model was developed, revealing a strong correlation between the anti-α-glucosidase activity and selected molecular descriptors. Based on this model, two new compounds (18 and 19) were designed, which exhibited the strongest inhibition with IC(50) values of 0.62 and 1.21 μM, respectively, when compared to the positive control (acarbose) with an IC(50) value of 93.63 μM. Enzyme kinetic studies of compounds 18 and 19 revealed their competitive inhibition with K(i) values of 3.93 and 1.80 μM, respectively. Computational studies demonstrated that compound 18 could be inserted into the original binding site (OBS) of α-glucosidase MAL12 and form multiple hydrophobic interactions with nearby amino acids, with the bromo group playing an essential role in enhancing the binding strength and stability at the OBS of the enzyme based on the quantum mechanical calculations using the fragment molecular orbital method. These findings provide valuable insights into the design of potent α-glucosidase inhibitors, which may have potential therapeutic applications in the treatment of diabetes and related diseases. American Chemical Society 2023-07-11 /pmc/articles/PMC10373460/ /pubmed/37521599 http://dx.doi.org/10.1021/acsomega.3c02868 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Phan, Thi-Hong-Truc Hengphasatporn, Kowit Shigeta, Yasuteru Xie, Wanting Maitarad, Phornphimon Rungrotmongkol, Thanyada Chavasiri, Warinthorn Designing Potent α-Glucosidase Inhibitors: A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives |
title | Designing Potent
α-Glucosidase Inhibitors:
A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives |
title_full | Designing Potent
α-Glucosidase Inhibitors:
A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives |
title_fullStr | Designing Potent
α-Glucosidase Inhibitors:
A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives |
title_full_unstemmed | Designing Potent
α-Glucosidase Inhibitors:
A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives |
title_short | Designing Potent
α-Glucosidase Inhibitors:
A Synthesis and QSAR Modeling Approach for Biscoumarin Derivatives |
title_sort | designing potent
α-glucosidase inhibitors:
a synthesis and qsar modeling approach for biscoumarin derivatives |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373460/ https://www.ncbi.nlm.nih.gov/pubmed/37521599 http://dx.doi.org/10.1021/acsomega.3c02868 |
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