LIM Kinases, LIMK1 and LIMK2, have become promising targets for the development of inhibitors with potential application for the treatment of several major diseases. LIMKs play crucial roles in cytoskeleton remodeling as downstream effectors of small G proteins of the Rho-GTPase family, and as major regulators of cofilin, an actin depolymerizing factor. In this article we describe the conception, synthesis, and biological evaluation of novel tetrahydropyridine pyrrolopyrimidine LIMK inhibitors. Homology models were first constructed to better understand the binding mode of our preliminary compounds and to explain differences in biological activity. A library of over 60 products was generated and in vitro enzymatic activities were measured in the mid to low nanomolar range. The most promising derivatives were then evaluated in cell on cofilin phosphorylation inhibition which led to the identification of 52 which showed excellent selectivity for LIMKs in a kinase selectivity panel. We also demonstrated that 52 affected the cell cytoskeleton by disturbing actin filaments. Cell migration studies with this derivative using three different cell lines displayed a significant effect on cell motility. Finally, the crystal structure of the kinase domain of LIMK2 complexed with 52 was solved, greatly improving our understanding of the interaction between 52 and LIMK2 active site. The reported data represent a basis for the development of more efficient LIMK inhibitors for future in vivo preclinical validation.

LIM kinases (LIMKs) are a family of protein kinases involved in the regulation of actin dynamics. There are two isoforms of LIMKs i.e., LIMK1 and LIMK2. LIMK1 is expressed abundantly in neuronal tissues. LIMK1 plays an essential role in the degradation of dendritic spines, which are important for our higher brain functions, such as memory and learning. The inhibition of LIMK1 improves the size and density of dendritic spines and acts as a protective effect against Alzheimer\'s disease. In this study, we have adopted ligand-based drug design and molecular modelling methods to identify virtual hits. The pharmacophoric features of PF-00477736 were used to screen the Zinc15 compounds library. The identified hits were then passed through drug-likeliness and PAINS filters. Further, comprehensive docking and rigorous molecular dynamics simulation study afforded three virtual hits viz., ZINC504485634, ZINC16940431 and ZINC1091071. The hits showed a better docking score than the standard ligand, PF-00477736. The docking score was found to be -8.85, -7.50 and -7.68 kcal/mol. These hits exhibited optimal binding properties with the target in docking study, blood-brain barrier permeability, in silico pharmacokinetics and low predicted toxicity.Communicated by Ramaswamy H. Sarma.