Dataset on biochemical inhibiting activities of selected phytochemicals in as potential NS2B-NS3 proteases inhibitors.

The anti-NS2B-NS3 proteases activities of L. were investigated via the data obtained from selected bioactive compounds from L. The work was investigated using approach and the series of computational software were used to execute the task. The software used were Spartan 14, material studio, Padel, Pymol, Autodock tool, Autodock vina and discovery studio. The obtained descriptors from 2D and 3D of the optimized compounds were screened and they were used to develop QSAR model using material studio software. Also, biological interaction between the selected bioactive compounds from L. and NS2B-NS3 proteases (PDB ID: 2fom) were accomplished using docking method and the calculated binding affinity as well as the residues involved in the interaction were reported. More so, the ADMET features for [(5,6,7,8,9,10,11,12,13,17)-17-(2,5-dihydroxy-2,5-dihydrofuran-3-yl)-11,12-dihydroxy-6‑methoxy-4,4,8,10,13-pentamethyl-1,16-dioxo-6,7,9,11,12,17-hexahydro-5-cyclopenta[]phenanthren-7-yl] 3-methylbut-2-enoate ( and (10,13,14,17)-17-[1-(3,4-dihydroxy-5,5-dimethyloxolan-2-yl)ethyl]-4,4,10,13,14-pentamethyl-1,2,5,6,9,11,12,15,16,17-decahydrocyclopenta[a]phenanthren-3-one () with lowest binding affinity were investigated and reported.