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Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts

BACKGROUND: Natural extracts play an important role in traditional medicines for the treatment of diabetes mellitus and are also an essential resource for new drug discovery. Dipeptidyl peptidase IV (DPP-IV) inhibitors are potential candidates for the treatment of type 2 diabetes mellitus, and the e...

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Autores principales: Guasch, Laura, Sala, Esther, Ojeda, María José, Valls, Cristina, Bladé, Cinta, Mulero, Miquel, Blay, Mayte, Ardévol, Anna, Garcia-Vallvé, Santiago, Pujadas, Gerard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3448616/
https://www.ncbi.nlm.nih.gov/pubmed/23028712
http://dx.doi.org/10.1371/journal.pone.0044972
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author Guasch, Laura
Sala, Esther
Ojeda, María José
Valls, Cristina
Bladé, Cinta
Mulero, Miquel
Blay, Mayte
Ardévol, Anna
Garcia-Vallvé, Santiago
Pujadas, Gerard
author_facet Guasch, Laura
Sala, Esther
Ojeda, María José
Valls, Cristina
Bladé, Cinta
Mulero, Miquel
Blay, Mayte
Ardévol, Anna
Garcia-Vallvé, Santiago
Pujadas, Gerard
author_sort Guasch, Laura
collection PubMed
description BACKGROUND: Natural extracts play an important role in traditional medicines for the treatment of diabetes mellitus and are also an essential resource for new drug discovery. Dipeptidyl peptidase IV (DPP-IV) inhibitors are potential candidates for the treatment of type 2 diabetes mellitus, and the effectiveness of certain antidiabetic extracts of natural origin could be, at least partially, explained by the inhibition of DPP-IV. METHODOLOGY/PRINCIPAL FINDINGS: Using an initial set of 29,779 natural products that are annotated with their natural source and an experimentally validated virtual screening procedure previously developed in our lab (Guasch et al.; 2012) [1], we have predicted 12 potential DPP-IV inhibitors from 12 different plant extracts that are known to have antidiabetic activity. Seven of these molecules are identical or similar to molecules with described antidiabetic activity (although their role as DPP-IV inhibitors has not been suggested as an explanation for their bioactivity). Therefore, it is plausible that these 12 molecules could be responsible, at least in part, for the antidiabetic activity of these extracts through their inhibitory effect on DPP-IV. In addition, we also identified as potential DPP-IV inhibitors 6 molecules from 6 different plants with no described antidiabetic activity but that share the same genus as plants with known antidiabetic properties. Moreover, none of the 18 molecules that we predicted as DPP-IV inhibitors exhibits chemical similarity with a group of 2,342 known DPP-IV inhibitors. CONCLUSIONS/SIGNIFICANCE: Our study identified 18 potential DPP-IV inhibitors in 18 different plant extracts (12 of these plants have known antidiabetic properties, whereas, for the remaining 6, antidiabetic activity has been reported for other plant species from the same genus). Moreover, none of the 18 molecules exhibits chemical similarity with a large group of known DPP-IV inhibitors.
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spelling pubmed-34486162012-10-01 Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts Guasch, Laura Sala, Esther Ojeda, María José Valls, Cristina Bladé, Cinta Mulero, Miquel Blay, Mayte Ardévol, Anna Garcia-Vallvé, Santiago Pujadas, Gerard PLoS One Research Article BACKGROUND: Natural extracts play an important role in traditional medicines for the treatment of diabetes mellitus and are also an essential resource for new drug discovery. Dipeptidyl peptidase IV (DPP-IV) inhibitors are potential candidates for the treatment of type 2 diabetes mellitus, and the effectiveness of certain antidiabetic extracts of natural origin could be, at least partially, explained by the inhibition of DPP-IV. METHODOLOGY/PRINCIPAL FINDINGS: Using an initial set of 29,779 natural products that are annotated with their natural source and an experimentally validated virtual screening procedure previously developed in our lab (Guasch et al.; 2012) [1], we have predicted 12 potential DPP-IV inhibitors from 12 different plant extracts that are known to have antidiabetic activity. Seven of these molecules are identical or similar to molecules with described antidiabetic activity (although their role as DPP-IV inhibitors has not been suggested as an explanation for their bioactivity). Therefore, it is plausible that these 12 molecules could be responsible, at least in part, for the antidiabetic activity of these extracts through their inhibitory effect on DPP-IV. In addition, we also identified as potential DPP-IV inhibitors 6 molecules from 6 different plants with no described antidiabetic activity but that share the same genus as plants with known antidiabetic properties. Moreover, none of the 18 molecules that we predicted as DPP-IV inhibitors exhibits chemical similarity with a group of 2,342 known DPP-IV inhibitors. CONCLUSIONS/SIGNIFICANCE: Our study identified 18 potential DPP-IV inhibitors in 18 different plant extracts (12 of these plants have known antidiabetic properties, whereas, for the remaining 6, antidiabetic activity has been reported for other plant species from the same genus). Moreover, none of the 18 molecules exhibits chemical similarity with a large group of known DPP-IV inhibitors. Public Library of Science 2012-09-21 /pmc/articles/PMC3448616/ /pubmed/23028712 http://dx.doi.org/10.1371/journal.pone.0044972 Text en © 2012 Guasch et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Guasch, Laura
Sala, Esther
Ojeda, María José
Valls, Cristina
Bladé, Cinta
Mulero, Miquel
Blay, Mayte
Ardévol, Anna
Garcia-Vallvé, Santiago
Pujadas, Gerard
Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts
title Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts
title_full Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts
title_fullStr Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts
title_full_unstemmed Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts
title_short Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part II): In Silico Prediction in Antidiabetic Extracts
title_sort identification of novel human dipeptidyl peptidase-iv inhibitors of natural origin (part ii): in silico prediction in antidiabetic extracts
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3448616/
https://www.ncbi.nlm.nih.gov/pubmed/23028712
http://dx.doi.org/10.1371/journal.pone.0044972
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