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...
Main Authors: | , , , , , , , , , |
---|---|
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 |
id |
doaj-2f69fc45d24d42d2b3cf41f71fb2ef81 |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT lauraguasch identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT esthersala identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT mariajoseojeda identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT cristinavalls identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT cintablade identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT miquelmulero identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT mayteblay identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT annaardevol identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT santiagogarciavallve identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts AT gerardpujadas identificationofnovelhumandipeptidylpeptidaseivinhibitorsofnaturaloriginpartiiinsilicopredictioninantidiabeticextracts |
_version_ |
1725402533409587200 |