Identification of novel protein kinase C-βII inhibitors: virtual screening, molecular docking and molecular dynamics

Bharat Kumar Reddy Sanapalli1, Vidyasrilekha Yele2, Lalji Baldaniya3

  • 1Department of Pharmacology, Faculty of Pharmacy, Marwadi University, Rajkot, Gujarat, 360003, India. bharathsanapalli@yahoo.in.

Insights

Researchers identified a potential new drug target for diabetic wounds by virtually screening compounds to find inhibitors of protein kinase C beta-II (PKC-βII). Compound 1 showed stable binding, offering a promising lead for developing diabetic wound therapeutics.

Area of Science:

  • Biochemistry
  • Pharmacology
  • Computational Chemistry

Background:

  • Diabetic wounds (DWs) represent a significant complication in diabetes management.
  • Impaired angiogenesis and excessive NETosis, regulated by protein kinase C beta-II (PKC-βII), are key factors in DW pathogenesis.
  • Targeting PKC-βII is a promising strategy for developing novel therapeutics for diabetic wound healing.

Purpose of the Study:

  • To identify potential inhibitors of PKC-βII using in silico methods.
  • To evaluate the drug-likeness and binding affinity of candidate compounds.
  • To assess the stability of the protein-ligand complex through molecular dynamics simulations.

Main Methods:

  • Receptor-based virtual screening of multiple compound databases (TimTec, Enamine, Zinc, Specs).
  • Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) prediction and standard/extra-precision docking.
  • Binding free energy calculations and molecular dynamics (MD) simulations using the Desmond module.

Main Results:

  • 595 candidate compounds were initially screened.
  • Compound 1 was identified as a potential PKC-βII inhibitor based on docking scores and interactions.
  • MD simulations confirmed the stable binding conformation of Compound 1 with the PKC-βII enzyme.

Conclusions:

  • In silico approaches successfully identified novel putative inhibitors of PKC-βII.
  • Compound 1 represents a promising lead compound for the development of therapeutics targeting diabetic wounds.
  • This study highlights the utility of computational methods in drug discovery for complex diseases like diabetes.