Decoding the Structure-Function Relationship of the Muramidase Domain in E. coli O157.H7 Bacteriophage Endolysin: A Potential Building Block for Chimeric Enzybiotics.
Mehri JavidAhmad Reza ShahverdiAtiyeh GhasemiAli Akbar Moosavi-MovahediAzadeh Ebrahim-HabibiZargham SepehrizadehPublished in: The protein journal (2024)
Bacteriophage endolysins are potential alternatives to conventional antibiotics for treating multidrug-resistant gram-negative bacterial infections. However, their structure-function relationships are poorly understood, hindering their optimization and application. In this study, we focused on the individual functionality of the C-terminal muramidase domain of Gp127, a modular endolysin from E. coli O157:H7 bacteriophage PhaxI. This domain is responsible for the enzymatic activity, whereas the N-terminal domain binds to the bacterial cell wall. Through protein modeling, docking experiments, and molecular dynamics simulations, we investigated the activity, stability, and interactions of the isolated C-terminal domain with its ligand. We also assessed its expression, solubility, toxicity, and lytic activity using the experimental data. Our results revealed that the C-terminal domain exhibits high activity and toxicity when tested individually, and its expression is regulated in different hosts to prevent self-destruction. Furthermore, we validated the muralytic activity of the purified refolded protein by zymography and standardized assays. These findings challenge the need for the N-terminal binding domain to arrange the active site and adjust the gap between crucial residues for peptidoglycan cleavage. Our study shed light on the three-dimensional structure and functionality of muramidase endolysins, thereby enriching the existing knowledge pool and laying a foundation for accurate in silico modeling and the informed design of next-generation enzybiotic treatments.
Keyphrases
- multidrug resistant
- molecular dynamics simulations
- gram negative
- cell wall
- poor prognosis
- escherichia coli
- drug resistant
- molecular docking
- healthcare
- oxidative stress
- stem cells
- small molecule
- machine learning
- mass spectrometry
- electronic health record
- mesenchymal stem cells
- transcription factor
- big data
- nitric oxide
- high resolution
- bone marrow
- acinetobacter baumannii
- klebsiella pneumoniae
- single cell
- human health
- long non coding rna
- single molecule
- high speed
- atomic force microscopy