Unravelling Phyto-Compound Therapeutics against SRC Protein via FGF Pathway Targeting-A Comprehensive Approach Integrating Omics Data Analysis, Network Pharmacology, Virtual Screening, and Molecular Dynamics.
Pankaj Kumar TripathiChakresh Kumar JainPublished in: Recent advances in food, nutrition & agriculture (2024)
The study conducted differential gene expression analysis, identifying 3621 statistically significant genes, with 1467 upregulated and 2154 downregulated. The top ten genes with the highest degree, betweenness centrality, and closeness centrality in the PPI network were selected as key genes. The SRC gene was found to have the highest degree and closeness centrality. Functional annotation and pathway analysis of key genes with a specific focus on the SRC mechanism revealed that the SRC's role in activating the RAS-RAF-MEK-ERK and Wnt/β-catenin pathways in CRC cells, promoting proliferation and invasion. Molecular modelling of SRC led to the screening of phyto-compounds from tropical fruits, with Rutinexhibiting a higher docking score compared to FDA-approved anticancer drugs. MD simulations over 100 ns and the post-MD analysis i.e. RMSD, SASA, RMSF, FEL, RG, Hydrogen bond, PCA, and MMPBSA, comprehended the stable and robust interactions of a protein-ligand complex. These findings suggest Rutin's potential as a potent natural molecule for treating CRC. The study concludes that SRC plays a pivotal role in CRC, influencing cellular processes critical to cancer development and Rutin has been found to be a promising SRC inhibitor, suggesting a potential alternative therapeutic strategy for CRC. The consistent molecular interactions of Rutin necessitate further validation through wet lab experiments, offering hope for individuals affected by CRC.
Keyphrases
- molecular dynamics
- tyrosine kinase
- genome wide identification
- genome wide
- data analysis
- density functional theory
- signaling pathway
- cell proliferation
- protein protein
- genome wide analysis
- transcription factor
- dna methylation
- bioinformatics analysis
- single cell
- stem cells
- induced apoptosis
- small molecule
- copy number
- pi k akt
- epithelial mesenchymal transition
- binding protein
- single molecule
- cell cycle arrest
- cancer therapy
- papillary thyroid
- squamous cell carcinoma
- zika virus
- cell death
- risk assessment