Computational insights into the inhibition of cell division in Staphylococcus aureus: Towards novel therapeutics

IF 2.6 4区 生物学 Q2 BIOLOGY Computational Biology and Chemistry Pub Date : 2025-02-25 DOI:10.1016/j.compbiolchem.2025.108391
Roopali Bhati, Ayesha Parvez Saifi, Manisha Sangwan, Pragati Mahur, Abhishek Sharma, Amit Kumar Singh, Jayaraman Muthukumaran, Monika Jain
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Abstract

Staphylococcus aureus, a gram-positive bacterium, causes infective endocarditis, osteoarticular, skin, and respiratory infections. The emergence of multidrug-resistant strains, particularly Methicillin-resistant Staphylococcus aureus (MRSA), has caused a 21–35 % rise in bloodstream infections, complicating treatment strategies. Filamentous temperature-sensitive protein Z (FtsZ), a critical protein involved in bacterial cell division, forms a Z-ring at the division site, making it a key target for novel antibacterial therapies. In this study, 1165 phytochemicals were screened, and three lead molecules namely, Aromadendrin, Leucopelargonidin, and 7-Deacetoxy-7-oxogedunin were identified based on their favorable physicochemical properties, drug-likeness, and estimated binding affinities (− 11.73 kcal/mol, − 10.77 kcal/mol, and − 10.38 kcal/mol, respectively) against FtsZ. 100 ns Molecular dynamics simulations conducted in triplicates confirmed the stability of the FtsZ-ligand complexes.Binding free energy calculations revealed that IMPHY003535 (Leucopelargonidin) exhibited the most favorable binding free energy (-27.25 kcal/mol), followed by 7-Deacetoxy-7-oxogedunin (-15.31 kcal/mol) and Aromadendrin (-13.38 kcal/mol). Leucopelargonidin emerged as the most promising inhibitor, highlighting its potential as a lead compound for developing antibacterial agents targeting FtsZ. These findings demonstrate the significant role of phytochemicals in combating antibiotic resistance and the importance of further optimization, including in vivo studies, to assess their therapeutic potential, which could provide new treatment avenues to overcome bacterial resistance mechanisms.
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Computational Biology and Chemistry
Computational Biology and Chemistry 生物-计算机:跨学科应用
CiteScore
6.10
自引率
3.20%
发文量
142
审稿时长
24 days
期刊介绍: Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered. Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered. Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.
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