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Drug screening of α‐amylase inhibitors as candidates for treating diabetes
In the present study, the identification of potential α‐amylase inhibitors is explored as a potential strategy for treating type‐2 diabetes mellitus. A computationally driven approach using molecular docking was employed to search for new α‐amylase inhibitors. The interactions of potential drugs wit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399542/ https://www.ncbi.nlm.nih.gov/pubmed/37403218 http://dx.doi.org/10.1111/jcmm.17831 |
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author | Alp, Meryem Misturini, Alechania Sastre, German Gálvez‐Llompart, Maria |
author_facet | Alp, Meryem Misturini, Alechania Sastre, German Gálvez‐Llompart, Maria |
author_sort | Alp, Meryem |
collection | PubMed |
description | In the present study, the identification of potential α‐amylase inhibitors is explored as a potential strategy for treating type‐2 diabetes mellitus. A computationally driven approach using molecular docking was employed to search for new α‐amylase inhibitors. The interactions of potential drugs with the enzyme's active site were investigated and compared with the contacts established by acarbose (a reference drug for α‐amylase inhibition) in the crystallographic structure 1B2Y. For this active site characterization, both molecular docking and molecular dynamics simulations were performed, and the residues involved in the α‐amylase–acarbose complex were considered to analyse the potential drug's interaction with the enzyme. Two potential α‐amylase inhibitors (AN‐153I105594 and AN‐153I104845) have been selected following this computational strategy. Both compounds established a large number of interactions with key binding site α‐amylase amino acids and obtained a comparable docking score concerning the reference drug (acarbose). Aiming to further analyse candidates' properties, their ADME (absorption, distribution, metabolism, excretion) parameters, druglikeness, organ toxicity, toxicological endpoints and median lethal dose (LD(50)) were estimated. Overall estimations are promising for both candidates, and in silico toxicity predictions suggest that a low toxicity should be expected. |
format | Online Article Text |
id | pubmed-10399542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103995422023-08-04 Drug screening of α‐amylase inhibitors as candidates for treating diabetes Alp, Meryem Misturini, Alechania Sastre, German Gálvez‐Llompart, Maria J Cell Mol Med Original Articles In the present study, the identification of potential α‐amylase inhibitors is explored as a potential strategy for treating type‐2 diabetes mellitus. A computationally driven approach using molecular docking was employed to search for new α‐amylase inhibitors. The interactions of potential drugs with the enzyme's active site were investigated and compared with the contacts established by acarbose (a reference drug for α‐amylase inhibition) in the crystallographic structure 1B2Y. For this active site characterization, both molecular docking and molecular dynamics simulations were performed, and the residues involved in the α‐amylase–acarbose complex were considered to analyse the potential drug's interaction with the enzyme. Two potential α‐amylase inhibitors (AN‐153I105594 and AN‐153I104845) have been selected following this computational strategy. Both compounds established a large number of interactions with key binding site α‐amylase amino acids and obtained a comparable docking score concerning the reference drug (acarbose). Aiming to further analyse candidates' properties, their ADME (absorption, distribution, metabolism, excretion) parameters, druglikeness, organ toxicity, toxicological endpoints and median lethal dose (LD(50)) were estimated. Overall estimations are promising for both candidates, and in silico toxicity predictions suggest that a low toxicity should be expected. John Wiley and Sons Inc. 2023-07-04 /pmc/articles/PMC10399542/ /pubmed/37403218 http://dx.doi.org/10.1111/jcmm.17831 Text en © 2023 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Alp, Meryem Misturini, Alechania Sastre, German Gálvez‐Llompart, Maria Drug screening of α‐amylase inhibitors as candidates for treating diabetes |
title | Drug screening of α‐amylase inhibitors as candidates for treating diabetes |
title_full | Drug screening of α‐amylase inhibitors as candidates for treating diabetes |
title_fullStr | Drug screening of α‐amylase inhibitors as candidates for treating diabetes |
title_full_unstemmed | Drug screening of α‐amylase inhibitors as candidates for treating diabetes |
title_short | Drug screening of α‐amylase inhibitors as candidates for treating diabetes |
title_sort | drug screening of α‐amylase inhibitors as candidates for treating diabetes |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399542/ https://www.ncbi.nlm.nih.gov/pubmed/37403218 http://dx.doi.org/10.1111/jcmm.17831 |
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