Natural Products from Brazilian Biodiversity Explored as Anti-EBV Drug Candidates: In-Silico Database Mining, Docking Computations, Molecular Dynamics and DFT Calculations.

A DNA tumor virus called Epstein-Barr virus (EBV) is the cause of 1-2% of human cancers. EBV-associated carcinogenesis is caused by a persistent latent infection. The shortage of antiviral medications or vaccinations to control the virus led to a significant percentage of critically sickness individuals needing to be hospitalized. In the absence of an effective vaccine and approved drug, there is an immediate need for treatments that can combat EBV infection. Epstein Barr nuclear antigen 1 (EBNA1) is continually expressed in all malignancies linked to EBV; it is a desirable target for curative interference. Herein, natural product compounds from the Nuclei of Bioassays, Ecophysiology and Biosynthesis of Natural Products (NuBBE) database were mined to identify potent EBNA1 inhibitors. The performance of the molecular docking technique was initially assessed in expecting the ligand-target binding pose according to the available experimental data. On the basis of the estimated docking protocol, the NuBBE database was virtually screened toward the EBNA1 protein, and the natural compounds with binding scores less than KWG (calc. − 7. 8 kcal/mol) were subjected to molecular dynamics (MD) simulations followed by binding energy (Δ G binding ) calculation using MM/GBSA approach. Based on binding energy computations, NuBBE1460 revealed superior Δ G binding with a value of − 3 6. 2 kcal/mol, compared to KWG (calc. − 3 2. 4 kcal/mol). Post-MD analyses displayed a high steadiness of NuBBE1460 within the EBNA1 protein binding pocket. Furthermore, the physicochemical, pharmacokinetic and toxicity features of the identified compound were predicted, demonstrating high degrees of its oral bioavailability. The energetical and geometrical properties of NuBBE1460 were calculated using the DFT method. Conclusively, this study offers NuBBE1460 obtained from natural sources as a lead EBNA1 inhibitor for future investigation and development as a therapeutic for EBV. NuBBE database was virtually screened as potent EBNA1 inhibitors using in-silico calculations. Compared to KWG, a reference inhibitor, NuBBE1460 exhibited better binding affinity against EBNA1. NuBBE1460 demonstrated promising stability in complex with EBNA1 and unveiled good oral bioavailability. [ABSTRACT FROM AUTHOR]