In silico prospection of antineoplastic molecules from the Artemisia annua species

Resumo

Lung cancer kills the most men and the second that kills the most women (behind only breast cancer). The in silico study makes it possible to search for new drugs at low cost, with a greater possibility of rapid manufacturing and a lower future cost for their manufacture. The objective of this study was to analyze an antineoplastic activity of the compounds of Artemisia annua to obtain an active substance that can reach the molecular target of the cancer cells. Compounds with antineoplastic effects were selected using Scielo, PubMed, and ScienceDirect platforms. Afterward, the first screening of compound compounds was performed with a high ability to predict biological and pharmacological activity through the PASS Prediction, Pubchem, and Swiss ADME platforms. After the current screening, we determined the toxicological and molecular target prediction by the Portox II and Swiss Target Prediction platforms. As a final part, molecular docking and redocking were performed for a compound using the PDB server and the GOLD Suite 5.7.0 program. For another, we completed the pharmacophoric mapping using the Binding DB and PharmaGist database. The compounds scopoletin and caffeic acid were the most promising structures in silico models capable of interacting with EGFR (epidermal growth factor) and MM-9 (metalloproteinase type 9), respectively. The results obtained that these structures are promising to be tested in in vitro and in vivo tests about the antineoplastic activity. In addition, in silico analyses help to understand the biological effects of A. annua extracts regarding antineoplastic evidence.