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Updated: Oct 26, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
A comparative study of different docking methodologies to assess the protein-ligand interaction for the E. coli MurB
Sonam Nirwan1, Varun Chahal1, Rita Kakkar1
1Computational Chemistry Laboratory, Department of Chemistry, University of Delhi, Delhi, India.
Abstract:
We have investigated the active site of E. coli MurB using the Quantum Mechanics/Molecular Mechanics (QM/MM) methodology. The docking of three novel series of 4-thiazolidinone derivatives has been performed using two methods: rigid docking and flexible docking (Induced Fit Docking: IFD). The results have been compared to understand the conformational aspects of the enzyme. The docking results from rigid docking show that the ligands with highly negative ΔG have poor docking scores. In addition, the value of the regression coefficient (R) obtained on correlating the ΔG and the experimental pMIC values is insignificant. On keeping the protein flexible, there is a remarkable improvement in both the docking score and ΔG, along with a good value of R (0.64). Two important residues, Tyr254 and Try190 are found to be highly displaced during the flexible docking and hence their role in effective ligand binding has been confirmed. Thus, comparing the two methodologies, IFD has emerged as the more appropriate one for studying the E. coli MurB enzyme. To further substantiate the findings, MD studies over a time period of 20 ns have been performed on the IFD-LIII j and Rigid/XP-LIII j complexes and the results shows the former complex to be more stable, with lower average RMSD and higher average ΔGCommunicated by Ramaswamy H. Sarma.
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