Journal
JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
Volume -, Issue -, Pages -Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/07391102.2022.2101529
Keywords
LIMK inhibitors; Alzheimer's disease; drug discovery; molecular simulations; KNIME
Categories
Funding
- Ministry of Education (MoE), New Delhi, India
Ask authors/readers for more resources
LIM kinases play a crucial role in the regulation of actin dynamics. In this study, ligand-based drug design and molecular modelling were used to identify potential compounds that can inhibit LIMKs. Through comprehensive docking and molecular dynamics simulation, three virtual hits with optimal binding properties were discovered. These hits have the potential to be developed into drugs for targeting LIMKs.
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
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available