Targeting Trefoil Factor Family 3 in Obstructive Airway Diseases: A Computational Approach to Novel Therapeutics
Alireza Shahriary, Mohsen Sisakht, Masoud Arabfard, Esmaeil Behmard, Ali Najafi

TL;DR
This study uses computational methods to identify genistein as a potential treatment for airway diseases by targeting TFF3, a protein linked to chronic conditions like COPD and mustard lung disease.
Contribution
The study introduces a novel computational pipeline combining gene expression, molecular docking, and toxicity prediction to identify TFF3 inhibitors.
Findings
Genistein significantly reduced TFF3 expression with strong binding affinities (-7 to -9.4 kcal/mol).
Genistein showed minimal toxicity and a robust inhibitory profile in molecular dynamics simulations.
Eight compounds were identified as significant TFF3 expression suppressors based on LINCS Z-scores.
Abstract
Airway remodeling, a hallmark of chronic obstructive pulmonary disease (COPD) and mustard lung disease, is influenced by the Trefoil Factor 3 (TFF3). This study sought to pinpoint a compound with minimal toxicity that can effectively suppress TFF3 expression and activity. We employed an integrative approach, combining gene expression analysis, molecular docking, and molecular dynamics simulations to identify potential TFF3 inhibitors. Gene expression analysis utilized Z-scores from the Library of Integrated Network-Based Cellular Signatures (LINCS) database to identify compounds altering TFF3 expression. Drug-like properties were assessed through Lipinski’s “Rule of Five.” Molecular docking was conducted with AutoDock Vina (version 1.1.2), and molecular dynamics simulations were performed using Groningen Machine for Chemical Simulations (GROMACS) version 5.1. Toxicity evaluation…
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Taxonomy
TopicsHelicobacter pylori-related gastroenterology studies · Gastroesophageal reflux and treatments
