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Integrating Network Pharmacology, Molecular Dynamics, Machine Learning, and Animal Experiments to Decipher the Anti-fibrotic Mechanism of BI 1015550 in Idiopathic Pulmonary Fibrosis

Curr Comput Aided Drug Des. 2026 Mar 31. doi: 10.2174/0115734099433388260204214424. Online ahead of print.

ABSTRACT

INTRODUCTION: Idiopathic Pulmonary Fibrosis (IPF) is a progressive and fatal lung disease with a poor prognosis. BI-1015550 is an oral phosphodiesterase 4B (PDE4B) inhibitor that has shown anti-inflammatory and anti-fibrotic effects; the exact molecular target(s) and mechanism of action in fibrosis are unknown. BI-1015550, an orally available PDE4B inhibitor with a possible anti-fibrotic effect, whose molecular mechanism of action is unknown Methods: We adopt an integrative approach that combines network pharmacology for identifying putative targets, molecular docking, and Molecular Dynamics (MD) simulations to assess the binding, ML-based target prioritization. Predicted targets/pathways were verified by Western blotting and Immunohistochemistry (IHC).

RESULTS: Network pharmacology analysis identified eight key targets: PTGS2, VCAM1, MMP1, IGF1, MMP7, CCL5, MMP13, and SELE. Docking results and MD simulation demonstrated that the predicted major targets of BI-1015550 include MMP1, PTGS2, and VCAM1. Therapeutic targets were also prioritized using machine learning methods. BI-1015550 treatment significantly decreased collagen deposition and HYP content of lung tissues in vivo. It down-regulated PTGS2, MMP1, and VCAM1 proteins via modulation of the NF-ΞΊB signaling pathway.

DISCUSSION: We presented an integrative multi-omics approach based on in silico prediction and wet-lab experiments to dissect the antifibrotic activity of BI-1015550. We showed here that BI- 1015550 mainly acts by inhibiting the NF-ΞΊB axis, resulting in downstream suppression of profibrotic and proinflammatory mediators. Our work on integrating network pharmacology with molecular simulation and ML is promising in both identifying reliable targets and providing a solid basis for further drug repurposing and mechanistic investigations. The better performance of BI-1015550 than current drugs (i.e., nintedanib and pirfenidone) demonstrates that it could be considered as an effective multi-target therapy against IPF.

CONCLUSION: BI-1015550 attenuates idiopathic pulmonary fibrosis through the suppression of the NF-kB signalling pathway and up-regulation of PTGS2, MMP1, and VCAM1. This provides some theoretical basis to treat IPF with this compound and indicates that a combination study is beneficial for revealing drug mechanisms.

PMID:41926303 | DOI:10.2174/0115734099433388260204214424

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