Computational studies reveal potential dolichyl-phosphate N-acetylglucosaminephosphotransferase inhibitors amidst existing drugs.

Dolichyl-phosphate N-acetylglucosaminephosphotransferase (dpagt1) inhibition is reported to kill tumor cells whose growth progression requires increased branching of N-linked glycans. Available dpagt1 inhibitors are grossly limited and are faced with problems of heamolytic effect and aqueous solubility thereby necessitating the search for new, safe and effective dpagt1 inhibitors. We employed computational methods to screen a dataset of ∼1300 FDA approved drugs in order to obtain theoretical dpagt1 inhibitors which could be repurposed as chemotherapeutic drugs. Top six better performing drugs, binding affinity for dpagt1 at the range of -17.63 to -20.40 kcal/mol, than the reference ligand (tunicamycin; -14.86 kcal/mol) were obtained at the end of structure-based-pharmacophore- and virtual-screening and 'induced fit' docking calculations. Analysis of their binding poses identified essential pharmacophores involved in target-ligand complexation that could be targeted in chemical modification to develop more effective and safe dpagt1 inhibitors.Communicated by Ramaswamy H. Sarma.

Fragment-based virtual screening discovers potential new Plasmodium PI4KIIIß ligands.

Type III beta phosphatidylinositol 4-kinase (PI4KIIIß) is the only clinically validated drug target in Plasmodium kinases and therefore a critical target in developing novel drugs for malaria. Current PI4KIIIß inhibitors have solubility and off-target problems. Here we set out to identify new Plasmodium PI4K ligands that could serve as leads for the development of new antimalarial drugs by building a PPI4K homology model since there was no available three-dimensional structure of PfPI4K and virtually screened a small library of ~ 22 000 fragments against it. Sixteen compounds from the fragment-based virtual screening (FBVS) were selected based on ≤ - 9.0 kcal/mol binding free energy cut-off value. These were subjected to similarity and sub-structure searching after they had passed PAINS screening and the obtained derivatives showed improved binding affinity for PfPI4K (- 10.00 to - 13.80 kcal/mol). Moreover, binding hypothesis of the top-scoring compound (31) was confirmed in a 100 ns molecular dynamics simulation and its binding pose retrieved after the system had converged at about 10 ns into the evolution was described to lay foundation for a rationale chemical-modification to optimize binding to PfPI4K. Overall, compound 31 appears to be a viable starting point for the development of PPI4K inhibitors with antimalarial activity.