Breast cancer remains a major world health challenge in women. Some Breast cancers are human epidermal growth factor receptor 2 (HER2) positive. Since this protein promotes the growth of cancer cells, it remains a therapeutic target for novel drugs. This study uses in silico model to predict HER2 inhibitors from curcumin derivatives via QSAR, e-pharmacophore, ADMET as well as structure-based virtual screening using Schrodinger suite. The molecular dynamics simulation of lead compounds, reference ligand and co-crystalized ligand was performed using GROMACS. At the end, eight active curcumin derivatives were predicted as inhibitors of HER2 with high binding affinity and better interaction compared with the reference drug (Neratinib) but lower binding affinity compared with the co-crystalized ligand (TAK-285). After prediction of the bioactivity of the molecules using AutoQSAR, the hit compounds showed appreciable inhibitory pIC50 compared with the reference and co-crystalized ligands against HER2. The pharmacokinetics profile predicted the eight hit compounds as drug-like and drug candidates. The MD simulation predicted the stability of the two top-scored compounds (10763284 and 78321412) in complex with HER2 for the final 80 ns of the trajectory period after initial equilibration with higher H-bond interactions in the protein-reference drug complex compared to the hit compounds-HER2 complexes. This study revealed that curcumin derivatives especially (1E,6E)-1,8-bis(4-hydroxy-3-methoxyphenyl)octa-1,6-diene-3,5-dione and (1E,6E)-4-ethyl-1,7-bis(4-hydroxy-3-methoxyphenyl)hepta-1,6-diene-3,5-dione were identified to demonstrate inhibitory activity against HER2 which is comparable to neratinib. Conclusively, the lead compounds require further in vitro and in vivo experimental validation for the discovery of new HER2 antagonists for breast cancer management.Communicated by Ramaswamy H. Sarma.
Keywords: HER2; breast cancer; curcumin; in silico; molecular simulation.