Molecular dynamic simulations to assess the structural variability of ClpV from Enterobacter cloacae
The <i>Enterobacter cloacae</i> complex (ECC) consists of six <i>Enterobacter</i> species (<i>E. cloacae</i>, <i>hormaechei</i>, <i>kobei</i>, <i>ludwigii</i>, <i>nimipressuralis</i> and <i>asburiae</i>) that have emerged as nosocomial pathogens of interest, with <i>E. cloacae</i> and <i>Enterobacter hormachei</i> being the most frequently isolated ECC species in human clinical specimens and intensive care unit (ICU) patients. Many nosocomial outbreaks of <i>E. cloacae</i> have been related to transmission through contaminated surgical equipment and operative cleaning solutions. As this pathogen evades the action of antibiotics, it is important to find alternative targets to limit the devastating effects of these pathogens. ClpV is a Clp ATPase which dissociates and recycles the contracted sheath of the bacterial type VI secretion system (T6SS), thereby regulating bacterial populations and facilitating environmental colonization. Seventy-one <i>Enterobacter</i> strains were mined for Clp ATPase proteins. All the investigated strains contained ClpA, ClpB, ClpX and ClpV while only 20% contained ClpK. All the investigated strains contained more than one ClpV protein, and the ClpV proteins showed significant variations. Three ClpV proteins from <i>E. cloacae</i> strain E3442 were then investigated to determine the structural difference between each protein. Homology modelling showed the proteins to be structurally similar to each other, however the physicochemical characteristics of the proteins vary. Additionally, physicochemical analysis and molecular dynamic simulations showed that the proteins were highly dynamic and not significantly different from each other. Further investigation of the proteins <i>in silico</i> and <i>in vitro</i> in the presence and absence of various ligands and proteins could be performed to determine whether the proteins all interact with their surroundings in the same manner. This would allow one to determine why multiple homologs of the same protein are expressed by pathogens.
Authors
- Babalwa Nyide
- Tehrim Motiwala (ORCID: https://orcid.org/0000-0002-6160-2350)
- Thandeka Khoza (ORCID: https://orcid.org/0000-0002-0008-5409)
Institutions
- University of KwaZulu-Natal (ZA)
Publication Details
- Journal
- Frontiers in Bioinformatics
- Published
- 2025-03-25
- DOI
- https://doi.org/10.3389/fbinf.2025.1498916
- Citations
- 2
- Primary Topic
- Antibiotic Resistance in Bacteria
- Type
- article
- Field-Weighted Citation Impact
- 1.18