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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Main Authors: Laura Guasch, Esther Sala, María José Ojeda, Cristina Valls, Cinta Bladé, Miquel Mulero, Mayte Blay, Anna Ardévol, Santiago Garcia-Vallvé, Gerard Pujadas
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3448616?pdf=render
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spelling doaj-2f69fc45d24d42d2b3cf41f71fb2ef812020-11-25T00:11:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0179e4497210.1371/journal.pone.0044972Identification of novel human dipeptidyl peptidase-IV inhibitors of natural origin (Part II): in silico prediction in antidiabetic extracts.Laura GuaschEsther SalaMaría José OjedaCristina VallsCinta BladéMiquel MuleroMayte BlayAnna ArdévolSantiago Garcia-VallvéGerard PujadasBACKGROUND: 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.http://europepmc.org/articles/PMC3448616?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Laura Guasch
Esther Sala
María José Ojeda
Cristina Valls
Cinta Bladé
Miquel Mulero
Mayte Blay
Anna Ardévol
Santiago Garcia-Vallvé
Gerard Pujadas
spellingShingle Laura Guasch
Esther Sala
María José Ojeda
Cristina Valls
Cinta Bladé
Miquel Mulero
Mayte Blay
Anna Ardévol
Santiago Garcia-Vallvé
Gerard Pujadas
Identification of novel human dipeptidyl peptidase-IV inhibitors of natural origin (Part II): in silico prediction in antidiabetic extracts.
PLoS ONE
author_facet Laura Guasch
Esther Sala
María José Ojeda
Cristina Valls
Cinta Bladé
Miquel Mulero
Mayte Blay
Anna Ardévol
Santiago Garcia-Vallvé
Gerard Pujadas
author_sort Laura Guasch
title 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_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_sort identification of novel human dipeptidyl peptidase-iv inhibitors of natural origin (part ii): in silico prediction in antidiabetic extracts.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2012-01-01
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.
url http://europepmc.org/articles/PMC3448616?pdf=render
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