# Uralenol, Glycyrol, and Abyssinone II as potent inhibitors of fibroblast growth factor receptor 2 from anti-cancer plants: A deep learning and molecular dynamics approach

**Authors:** Alomgir Hossain, Md. Sanowar Hossan, Md. Shahanur Prodhan, Md. Nahid Hasan Joy, Muntasir Rahman Siam, Md. Ekhtiar Rahman, Mohammad Nurul Matin, Jorddy Neves Cruz, Jorddy Neves Cruz, Jorddy Neves Cruz, Jorddy Neves Cruz

PMC · DOI: 10.1371/journal.pone.0341498 · PLOS One · 2026-01-30

## TL;DR

This study identifies three plant-derived compounds as potential inhibitors of FGFR2, a receptor linked to cancer, using computational methods like deep learning and molecular dynamics.

## Contribution

The study introduces uralenol, glycyrol, and abyssinone II as novel FGFR2 inhibitors with favorable pharmacokinetic and toxicity profiles.

## Key findings

- Uralenol, glycyrol, and abyssinone II showed high binding affinity to FGFR2 in molecular docking.
- MD simulations confirmed the stability of the FGFR2-ligand complexes and thermodynamic favorability.
- ADME/T analysis indicated low toxicity and good pharmacokinetic properties for the three compounds.

## Abstract

Fibroblast Growth Factor Receptor 2 (FGFR2) plays a critical role in cellular proliferation and differentiation, and its dysregulation is associated with multiple cancers. This study integrates molecular docking, deep learning, pharmacokinetic profiling, and molecular dynamics (MD) simulations to identify potential FGFR2 inhibitors from a library of 1,350 phytochemicals derived from 51 anti-cancer medicinal plants that were traditionally used for anticancer purposes. Initial screening through AutoDock Vina revealed several top candidates with high binding affinities to FGFR2. The top three compounds, uralenol, glycyrol, and abyssinone II, underwent further evaluation via deep learning models, which predicted the potential efficacy of the pIC₅₀ (negative logarithm of the half-maximal inhibitory concentration) values. The ADME/T (absorption, distribution, metabolism, excretion, and toxicity) analysis confirmed favorable pharmacokinetic profiles and low toxicity risks. MD simulations validated the stability and compactness of protein–ligand complexes, with principal component analysis (PCA) and free energy landscape analyses confirming these interactions’ conformational stability and thermodynamic favorability. These findings suggest that uralenol, glycyrol, and abyssinone II are potential FGFR2 inhibitors and need further experimental validation for potential therapeutic use in cancer treatment.

## Linked entities

- **Proteins:** FGFR2 (fibroblast growth factor receptor 2)
- **Chemicals:** uralenol (PubChem CID 5315126), glycyrol (PubChem CID 5320083), abyssinone II (PubChem CID 10064832)
- **Diseases:** cancer (MONDO:0004992)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12857956/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12857956/full.md

## References

75 references — full list in the complete paper: https://tomesphere.com/paper/PMC12857956/full.md

---
Source: https://tomesphere.com/paper/PMC12857956