Comprehensive computational strategies for multi-target drug discovery in inflammatory bowel disease utilizing bioactive compounds

Inflammatory bowel disease (IBD) is a chronic gastrointestinal condition that encompasses ulcerative colitis (UC) and Crohn's disease (CD). Targeting both inflammation and the epithelial barrier simultaneously can significantly improve symptom management in IBD, as a promising strategy. In this study, we focused on addressing both inflammation and the epithelial barrier. Until now, each therapeutic target including phosphodiesterase 4 (PDE4) and prolyl hydroxylase domain enzymes 1 and 2 (PHD1/2) have been studied separately. PDE4 plays a key role in the inflammatory process by converting cyclic AMP (cAMP) to AMP and its inhibition can suppress the production of inflammatory cytokines. Research has shown that inhibiting PHD1 and PHD2 increases levels of hypoxia-inducible factor-alpha (HIF-α), which in turn strengthens the epithelial barrier by promoting the expression of protective factors such as mucins and β-defensins. Through virtual screening, molecular docking, and molecular dynamics simulations, we identified five compounds-Cassiamin C, Ginkgetin, Hinokiflavone, Sciadopitysin, and Sojagol-as promising new drug candidates for IBD treatment. All compounds demonstrated superior free binding energy for the three targets compared to reference ligands, except Sojagol concerning PDE4B. Among these compounds, Ginkgetin was the best compound with potential ability of targeting multiple drug target proteins. Future experimental studies are warranted to validate these findings.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-03
DOI
https://doi.org/10.1038/s41598-025-98771-w
Citations
5
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
7.52

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive computational strategies for multi-target drug discovery in inflammatory bowel disease utilizing bioactive compounds

Esmaeil Behmard, Seyed Amin Kouhpayeh, Sohrab Najafipour, Akbar Farjadfar et al.
5 citations
Scientific Reports
Computational Drug Discovery Methods
7.52
article

Comprehensive computational strategies for multi-target drug discovery in inflammatory bowel disease utilizing bioactive compounds

Esmaeil Behmard, Seyed Amin Kouhpayeh, Sohrab Najafipour, Akbar Farjadfar, Pegah Mansouri, Pardis Mansouri
article en
5 citations

Abstract

Inflammatory bowel disease (IBD) is a chronic gastrointestinal condition that encompasses ulcerative colitis (UC) and Crohn's disease (CD). Targeting both inflammation and the epithelial barrier simultaneously can significantly improve symptom management in IBD, as a promising strategy. In this study, we focused on addressing both inflammation and the epithelial barrier. Until now, each therapeutic target including phosphodiesterase 4 (PDE4) and prolyl hydroxylase domain enzymes 1 and 2 (PHD1/2) have been studied separately. PDE4 plays a key role in the inflammatory process by converting cyclic AMP (cAMP) to AMP and its inhibition can suppress the production of inflammatory cytokines. Research has shown that inhibiting PHD1 and PHD2 increases levels of hypoxia-inducible factor-alpha (HIF-α), which in turn strengthens the epithelial barrier by promoting the expression of protective factors such as mucins and β-defensins. Through virtual screening, molecular docking, and molecular dynamics simulations, we identified five compounds-Cassiamin C, Ginkgetin, Hinokiflavone, Sciadopitysin, and Sojagol-as promising new drug candidates for IBD treatment. All compounds demonstrated superior free binding energy for the three targets compared to reference ligands, except Sojagol concerning PDE4B. Among these compounds, Ginkgetin was the best compound with potential ability of targeting multiple drug target proteins. Future experimental studies are warranted to validate these findings.

Scientific ReportsVol. 15(1)
Kowsar Hospital (IR), Fasa University of Medical Sciences (IR), Université de Saint-Boniface (CA)
Fasa University of Medical Sciences
Zero hunger
Openalex Percentile: Top 3%
Computational Drug Discovery Methods
7.52
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.