Identification of Pharmacophore Responsible for the JNK3 Enzyme Inhibition using KPLS-based QSAR Analysis.

Background: The pharmacophoric approach relies on the theory of possessing ubiquitous chemical functionalities, and carrying a uniform spatial conformation that provides a route to enhanced potency on the same target receptor. JNK3, also known as c-Jun N-terminal kinase 3, is a protein kinase that plays a crucial role in various cellular processes, particularly in the central nervous system (CNS). In this study, a kernel-based partial least square (KPLS)- based Two-dimensional Quantitative structural activity relationship (2D QSAR) model to predict pharmacophores responsible for c-Jun-N-terminal kinase 3 (JNK3) inhibition.