Identification of 3D motifs based on sequences and structures for binding to CFI-400945, and deep screening-based design of new lead molecules for PLK-4.

Abstract

PLK-4 kinase plays an essential role in the cell cycle from regulating centriole duplication till cytokinesis and is therefore an attractive drug target in cancers such as breast, lung, and central nervous system tumors. CFI-400945 is an efficient PLK-4 inhibitor and inhibits other non-PLK family proteins at nanomolar concentrations. We have compared PLK-4 with other kinases to understand its similarity based on multiple sequence alignments from protein sequences of primary structures, outer and buried residues, and compact active site conservation based on three-dimensional motifs. These in-depth studies provide information on known interface targets and design of more selective inhibitors to PLK-4. Further, pharmacophore features based on CFI-400945 bound to PLK-4 were used for searching library of compounds that were screened using deep learning methods to bind PLK-4. The shortlisted molecules were docked into PLK-4 active site and were validated using molecular docking and molecular dynamics simulations studies. MM-PBSA calculations revealed the stability of hit molecules and PLK-4 complexes in comparison with CFI-400945 and the contribution to binding from key active site residues.