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Updated: Sep 22, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Computational attributes of protein kinase-C gamma C2-domain & virtual screening for small molecules: elucidation
Harvinder Singh1, Anupam Raja1, Nishant Shekhar2
1Department of Pharmacology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Abstract:
Epilepsy, a moderate to chronic neuropathological condition, is induced by the acute blockage of synaptic and voltage-gated inhibitory conduction or through the activation of synaptic and voltage-gated excitatory conduction. The regulation of long-term potentiation (LTP) is important in the regulation of epileptic events, and its activity is linked to specific protein kinases. The PKC-γ subtype is a vaguely explored therapeutic target for neurological disorders, but in selected studies, it is proven to be a critical intermediate protein in LTP. This study utilized computational modelling approaches including receptor-based docking, QSAR followed by explicit binding score assessment method MM/GBSA, MM/PBSA (EDA) and MTD simulation-based FES iteration. This was performed to virtually screen the small molecule libraries, which comprised about 2.79 lacs compounds against the Ca2+-binding site of the PKC-γ-C2 regulatory domain. The screened molecules LIG-41 ([4-Oxo-4-(4-phenylmethoxyanilino) butyl] azanium) and LIG-16 (Emixustat) exhibit overall optimal attributes in the above-mentioned parameters. The two leads are expected to inhibit the Ca2+-mediated PKC-γ activity.Communicated by Ramaswamy H. Sarma.
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