Network pharmacology and molecular docking-based strategy for predicting anti-tumour mechanism of linarin

Abstract

The aim was to explore the anti-tumour mechanism of linarin (LIN) based on network pharmacology and molecular docking. PharmMapper database and GeneCards database were used to screen anti-tumour related targets of LIN. Enrichment analysis of GO and KEGG was conducted to predict the key targets and pathways. At last, LIN was docked with the key targets. ESR1, ESR2, EGFR, AR, TGFBR2, F2, MAPK10, MAPK14, CDK2 and HSP90AA1 were identified as the key targets. The key pathways included pathways in cancer, prostate cancer, pancreatic cancer and breast cancer. KEGG pathway maps indicated that the anti-tumour effect of LIN may be mainly achieved by intervening related targets in the following pathways: AR-HSP/AR-AR/PSA/proliferation and evading apoptosis;F2/GPCR/…/ROCK/tissue invasion and metastasis;F2/GPCR/…/Raf/MAPK signalling pathway/proliferation and sustained angiogenesis; EGFR/Grb2/…/Raf/MAPK signalling pathway/proliferation and sustained angiogenesis; ER/Oestrogen signalling pathway/proliferation;TGFBR2/Smad2/3/TGF-β signalling pathway/insensitivity to anti-growth signals; oxidative stress/KEAP1/NRF2/…/proliferation and evading apoptosis. LIN had strong binding activity with ESR2, EGFR, AR, CDK2 and HSP90AA1.