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Objective: to evaluate the molecular interaction of silibinin with the targets ALS3 and SAP5. Methodology: Molecular docking protocols were conducted to analyze the binding interaction of silibinin with ALS3 and SAP5. Results: Eleven interactions of ALS3 with silibinin and four with fluconazole were found, while six interactions were observed of SAP5 with silibinin and four with fluconazole. Conclusion: Molecular docking between silibinin and ALS3 identified important interactions, but no significant interactions were observed with SAP5, even though silibinin can exhibit affinity and interactions with other SAP5 sites.

Objetivo: avaliar as interações de di-e tri-terpenos de Stillingia loranthacea com a enzima NSP16-NSP10 de SARS-CoV-2, importante para a replicação viral. Métodos: A técnica de docking molecular foi utilizada para avaliar essa interação. Resultados: A análise mostrou que os compostos avaliados obtiveram valores de RMSD de 0,888 a 1,944 Å e energia livre de -6,1 a -9,4 kcal/mol, observando-se ligações de hidrogênio, pontes salinas e pi-enxofre, pi-alquil, e interações hidrofóbicas. Conclusão: Assim, os resultados obtidos mostram o potencial dos compostos analisados frente ao alvo selecionado. Como as simulações computacionais são apenas um passo inicial nos projetos de desenvolvimento de medicamentos antivirais, este estudo fornece dados importantes para pesquisas futuras.Palavras-chave: Silibinina; Infecção fúngica; Candida spp; Ancoragem Molecular; Proteínas de Adesão. ResumoObjective: This study aimed to evaluate the interactions of di-and tri-terpenes from Stillingia loranthacea with the enzyme NSP16-NSP10 of SARS-CoV-2, important for viral replication. Methods: The molecular docking technique was used to evaluate this interaction. Results: The analysis showed that the evaluated compounds obtained RMSD values of 0.888 to 1.944 Å and free energy of -6.1 to -9.4 kcal/mol, with the observation of hydrogen bonds, salt bridges, and pi-sulfur, pi-alkyl, and hydrophobic interactions. Conclusion: Thus, the results obtained show the potential of the compounds analyzed against the selected target. Since computer simulations are only an initial step in projects for the development of antiviral drugs, this study provides important data for future research.