Christiana E. Aruwa, Yamkela Dweba, Oladunni M. Ayodele, Saheed Sabiu
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引用次数: 0
Abstract
Plant products have been integral to the derivation of interventive therapies to mitigate the current scourge of antimicrobial resistance (AMR). The South African plant, Daniellia oliveri, may yet hold promise against WHO-listed critical priority pathogens like Acinetobacter baumannii and its quorum sensing (QS) system, BfmR (RstA). Hence, we bio-prospected D. oliveri compounds in a bid to provide alternative antimicrobial therapeutics, specifically, potential quorum sensing inhibitors (QSIs). This study utilized a range of in silico validated tools for the cheminformatic analysis of RstA modulating properties of D. oliveri-associated compounds. The two (2) lead compounds identified (β-carotene, β-amyrin) had docking scores of −6.8 kcal/mol, relative to −6.7 kcal/mol observed for the azithromycin reference. Only cis-Calamenene and β-amyrin had pharmacokinetic features conformed to the rule of 5 (Ro5) for selection as potential oral drug candidates. β-carotene and rutin had the best quantum reactivity attributes (lowest energy gap, and highest electronegativity and global electrophilicity). Molecular dynamics (MD) simulation revealed that all lead ligands bound to RstA stabilized system compactness and thermodynamics. Although the azithromycin-RstA system had the least ∆Gbind (-40.48 kcal/mol), rutin had the next highest ∆Gbind (-31.53 kcal/mol) of all D. oliveri compounds. Overall, these lead Daniellia oliveri metabolites may yet have potential RstA inhibitory/modulatory action upon further structural modification, and in vitro and in vivo validation tests prior to formulation into oral, interventive QSIs targeting A. baumannii RstA modulation.
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.