Cheminformatics-based selection and synergism of herbal extracts with anticancer agents on drug resistance tumor cells-ACHN and A2780/cp cell lines.

Ghazaleh Ghavami (1, 2) , Soroush Sardari (1, 3) , Mohammad Ali Shokrgozar (4)

1 Drug Design and Bioinformatics Unit
2 EMGEN - Eastern Mediterranean Health Genomics and Biotechnology Network
3 Biotechnology Research Center
4 Institut Pasteur d'Iran

The treatment of cancer usually involves lethal effect on normal body cells as side effects. Cheminformatics methodology can play a significant role in biomed/clinical scientific research. Similarity searching is a standard cheminformatics tool in drug discovery area and database design. In this study, five novel herbal extracts in combination with doxorubicin and cisplatin have been used to sensitize ACHN and A2780/cp cells. These herbal extracts have been selected on the basis of novel cheminformatics methodology and assayed for the first time. The findings confirmed predicted outcomes from the in silico research and the results introduced may bring to use the effects of these herbs in reversing of multidrug resistance (MDR) phenomenon.

Mots clés: Cheminformatics; Anticancer; Herbal extract; Synergism

Domaines: Pharmacologie

Ghazaleh Ghavami, Soroush Sardari, Mohammad Ali Shokrgozar. Cheminformatics-based selection and synergism of herbal extracts with anticancer agents on drug resistance tumor cells-ACHN and A2780/cp cell lines.. Computers in Biology and Medicine, 2011, 41 (8), pp.665-74. ⟨10.1016/j.compbiomed.2011.06.002⟩. ⟨pasteur-00753195⟩