Searching for New Antibacterial Compounds Against Staphylococcus aureus: A Computational Study on the Binding Between FtsZ and FtsA

Background: Staphylococcus aureus is a pathogen that has become resistant to different antibiotics, which makes it a threat to human health. Although the first penicillin-resistant strain appeared in 1945, nowadays, there are just a few alternatives to fight it. To circumvent this issue, novel approaches to develop drugs to target proteins of the bacteria cytoskeleton, essential for bacteria’s binary fission, are being developed. FtsZ and FtsA are two proteins that are key for the initial stages of binary fission. On one side, FtsZ forms a polymeric circular structure called the Z ring; meanwhile, FtsA binds to the cell membrane and then anchors to the Z ring. According to the literature, this interaction occurs within the C-terminus domain of FtsZ, which is mainly disordered. Objective: In this work, we studied the binding of FtsZ to FtsA using computational chemistry tools to identify the interactions between the two proteins to further use this information for the search of potential protein-protein binding inhibitors (PPBIs). Methods: We made a bioinformatic analysis to obtain a representative sequence of FtsZ and FtsA of Staphylococcus aureus. With this information, we built homology models of the FtsZ to carry out the molecular docking with the FtsA. Furthermore, alanine scanning was conducted to identify the key residues forming the FtsZ–FtsA complex. Finally, we used this information to generate a pharmacophore model to carry out a virtual screening approach. Results: We identified the key residues forming the FtsZ-FtsA complex as well as five molecules with high potential as PPBIs.

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Publication Details

Journal
Drugs and Drug Candidates
Published
2024-11-08
DOI
https://doi.org/10.3390/ddc3040043
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.36

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article

Searching for New Antibacterial Compounds Against Staphylococcus aureus: A Computational Study on the Binding Between FtsZ and FtsA

Armando Hernández-Mendoza, César Millán‐Pacheco, David Pérez, Rodrigo Said Razo‐Hernández et al.
1 citations
Drugs and Drug Candidates
Computational Drug Discovery Methods
0.36
article

Searching for New Antibacterial Compounds Against Staphylococcus aureus: A Computational Study on the Binding Between FtsZ and FtsA

Armando Hernández-Mendoza, César Millán‐Pacheco, David Pérez, Rodrigo Said Razo‐Hernández, Alba V. Demesa-Castañeda
article en
1 citations

Abstract

Background: Staphylococcus aureus is a pathogen that has become resistant to different antibiotics, which makes it a threat to human health. Although the first penicillin-resistant strain appeared in 1945, nowadays, there are just a few alternatives to fight it. To circumvent this issue, novel approaches to develop drugs to target proteins of the bacteria cytoskeleton, essential for bacteria’s binary fission, are being developed. FtsZ and FtsA are two proteins that are key for the initial stages of binary fission. On one side, FtsZ forms a polymeric circular structure called the Z ring; meanwhile, FtsA binds to the cell membrane and then anchors to the Z ring. According to the literature, this interaction occurs within the C-terminus domain of FtsZ, which is mainly disordered. Objective: In this work, we studied the binding of FtsZ to FtsA using computational chemistry tools to identify the interactions between the two proteins to further use this information for the search of potential protein-protein binding inhibitors (PPBIs). Methods: We made a bioinformatic analysis to obtain a representative sequence of FtsZ and FtsA of Staphylococcus aureus. With this information, we built homology models of the FtsZ to carry out the molecular docking with the FtsA. Furthermore, alanine scanning was conducted to identify the key residues forming the FtsZ–FtsA complex. Finally, we used this information to generate a pharmacophore model to carry out a virtual screening approach. Results: We identified the key residues forming the FtsZ-FtsA complex as well as five molecules with high potential as PPBIs.

Drugs and Drug CandidatesVol. 3(4)
Tecnológico Nacional de México (MX), Universidad Autónoma del Estado de Morelos (MX), Universidad de Colima (MX)
Consejo Nacional de Ciencia y Tecnología
Good health and well-being
Openalex Percentile: Top 34%
Computational Drug Discovery Methods
0.36
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