Unknown

Dataset Information

0

A potent peptide as adiponectin receptor 1 agonist to against fibrosis.


ABSTRACT: Fibrotic diseases have become a major cause of death in the developed world. AdipoR1 agonists are potent inhibitors of fibrotic responses. Here, we focused on the in silico identification of novel AdipoR1 peptide agonists. A homology model was constructed to predict the 3D structure of AdipoR1. By docking to known active peptides, the putative active site of the model was further explored. A virtual screening study was then carried out with a set of manually designed peptides using molecular docking. Peptides with high docking scores were then evaluated for their anti-fibrotic properties. The data indicated that the novel peptide Pep70 significantly inhibited the proliferation of hepatic stellate cells (HSC) and NIH-3T3 cells (18.33% and 27.80%) and resulted in favouring cell-cycle arrest through increasing the accumulation of cells in the G0/G1 phase by 17.08% and 15.86%, thereby reducing the cell population in the G2/M phase by 11.25% and 15.95%, respectively. Additionally, Pep70 exhibited the most marked suppression on the expression of ?-smooth muscle actin (?-SMA), collagen type I alpha1 (COL1A1) and TGF-?1. Therefore, the peptide Pep70 was ultimately identified as an inhibitor of fibrotic responses and as a potential AdipoR1 agonist.

SUBMITTER: Ma L 

PROVIDER: S-EPMC6010020 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

A potent peptide as adiponectin receptor 1 agonist to against fibrosis.

Ma Lingman L   Zhang Zhen Z   Xue Xiaowen X   Wan Yumeng Y   Ye Boping B   Lin Kejiang K  

Journal of enzyme inhibition and medicinal chemistry 20171201 1


Fibrotic diseases have become a major cause of death in the developed world. AdipoR1 agonists are potent inhibitors of fibrotic responses. Here, we focused on the in silico identification of novel AdipoR1 peptide agonists. A homology model was constructed to predict the 3D structure of AdipoR1. By docking to known active peptides, the putative active site of the model was further explored. A virtual screening study was then carried out with a set of manually designed peptides using molecular doc  ...[more]

Similar Datasets

| S-EPMC6005460 | biostudies-literature
| S-EPMC3198688 | biostudies-literature
| S-EPMC4195748 | biostudies-literature
| S-EPMC6385350 | biostudies-literature
| S-EPMC1574175 | biostudies-literature
| S-EPMC9889809 | biostudies-literature
| S-EPMC6081386 | biostudies-literature
| S-EPMC6408997 | biostudies-literature
| S-EPMC8963882 | biostudies-literature
| S-EPMC8168410 | biostudies-literature