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Updated: Nov 10, 2025

Incorporating Target Protein Structure Flexibility and Dynamics in Computational Drug Discovery Using Ensemble-Based Docking Analysis
Published on: June 20, 2025
Molecular docking of the pneumococcal main autolysin (LytA) and deoxycholate ligand
Ghanbar Mahmoodi Chalbatani1, Samira Karimaei2, Davoud Afshar3
1Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Science, Tehran, Iran.
Abstract:
In the Streptococcus pneumoniae, the N-acetylmuramoyl-l-alanine amidase known as LytA protein is a main autolysin and in the presence of sodium deoxycholate, it activates and breaks S. pneumoniae cell wall. In the present study, the interaction between the LytA protein and deoxycholate as ligand was investigated. The Lyt A protein was retrieved from PDB databank and energetically minimized by Molegro Virtual Docker. The binding sites of LytA protein were detected and molecular docking carried out using MolDock algorithm. Finally, the number of hydrogen and electrostatic bonds were obtained for each predicted pose. A total of 5 binding sites predicted on LytA protein. The number of 5 predicted poses for each binding site also detected and molecular docking showed that all the poses have interactions (by H bonds) with deoxycholate. The interaction of the LytA protein with the deoxycholate ligand reveal five binding sites, which are involved in deoxycholate substrate recognition.
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