In silico prediction of anticarcinogenic bioactivities of traditional anti-inflammatory plants used by tribal healers in Sathyamangalam wildlife Sanctuary, India

Abstract

The present study was designed to explore ethnopharmacological anti-inflammatory plants in the anti-cancer drug development. From the specialized local herbalists of the study area, who were treating tumors using anti-inflammatory plants by considering as a type of inflammation and explaining the potential of anti-inflammatory plants in prevalence of early stage's cancer. Interaction results obtained from the herbalists, and in silico PASS and CLC-pred prediction results were greatly agreed with documented data. Documentation was done through semi-structure standard designed proforma from the selected herbalist in study locality. A number of active compounds selected from recorded plants subsequently analyzed by using computational in silico tools such as PASS, admetSAR, and CLC-pred to investigate the antineoplastic capacity of anti-inflammatory plants. About 18 out of 20 plants said to be used in tumor-related affliction recognized for antineoplastic capacity using PASS database with high probability. Similarly, the selected compound's absorption, metabolism, and toxicity also predicted using the admetSAR tool. CLC-pred Tools performed to examine the different cell line cytotoxicity of compounds with respective probabilities.

Keywords:

• Ethnomedicine
• Inflammation
• Anticancer
• In silico