Comparative Structure-Based Prioritisation of Daniellia oliveri Metabolites Against PBP2a of Staphylococcus aureus and PBP2x of Streptococcus pneumoniae

Background/Objectives: The therapeutic durability of β-lactams is increasingly threatened by penicillin-binding proteins (PBPs) that retain cell-wall transpeptidase activity under antibiotic pressure. This study computationally evaluated 221 Daniellia oliveri metabolites against penicillin-binding protein 2a (PBP2a) of methicillin-resistant Staphylococcus aureus (MRSA) and penicillin-binding protein 2x (PBP2x) of Streptococcus pneumoniae, using amoxicillin and cefotaxime as reference standards. Methods: Molecular docking and interaction analysis prioritised quercitrin, apigetrin, quercetin 3-rutinoside and acid methyl ester for PBP2a, and amyrin, columbin, apigetrin, quercetin 3-rutinoside and N-(2H-tetrazol-5-yl)benzamide for PBP2x. The candidates were further assessed through pharmacokinetic and drug-likeness prediction, 160 ns molecular dynamics (MD) simulations, molecular mechanics/generalised Born surface area (MM/GBSA) analysis and density functional theory (DFT). Results: Quercetin 3-rutinoside emerged as the highest-priority computational dual-target candidate, with the numerically most favourable within-protocol MM/GBSA estimates for PBP2a (−58.51 kcal mol−1) and PBP2x (−55.92 kcal mol−1) among the tested compounds and controls. The compound also had the lowest PBP2a root-mean-square deviation (RMSD; 1.64 Å) and root-mean-square fluctuation (RMSF; 1.26 Å), indicating lower global deviation and residue-level fluctuation in the PBP2a simulation. Against PBP2x, quercetin 3-rutinoside exhibited a higher RMSD (4.98 Å) but a relatively low RMSF (1.75 Å), consistent with greater global protein reorganisation alongside comparatively limited residue-level fluctuation. DFT descriptors of quercetin 3-rutinoside indicated moderate electronic responsiveness, whereas pharmacokinetic profiling revealed high molecular weight, rule-of-five violations, low predicted gastrointestinal absorption and P-glycoprotein liability. Conclusions: Overall, quercetin 3-rutinoside was the highest-ranked computational dual-PBP candidate from D. oliveri; this prioritisation does not establish PBP inhibition and requires structural optimisation and biochemical, antibacterial, safety and in vivo validation.

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Publication Details

Journal
Drugs and Drug Candidates
Published
2026-09-15
DOI
https://doi.org/10.3390/ddc5030051
Primary Topic
Antimicrobial Peptides and Activities
Type
article
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article

Comparative Structure-Based Prioritisation of Daniellia oliveri Metabolites Against PBP2a of Staphylococcus aureus and PBP2x of Streptococcus pneumoniae

Nosipho Wendy S’thebe, ‪Jamiu Olaseni Aribisala, Saheed Sabiu, Oladunni Mary Ayodele
Drugs and Drug Candidates
Antimicrobial Peptides and Activities
article

Comparative Structure-Based Prioritisation of Daniellia oliveri Metabolites Against PBP2a of Staphylococcus aureus and PBP2x of Streptococcus pneumoniae

Nosipho Wendy S’thebe, ‪Jamiu Olaseni Aribisala, Saheed Sabiu, Oladunni Mary Ayodele
article en

Abstract

Background/Objectives: The therapeutic durability of β-lactams is increasingly threatened by penicillin-binding proteins (PBPs) that retain cell-wall transpeptidase activity under antibiotic pressure. This study computationally evaluated 221 Daniellia oliveri metabolites against penicillin-binding protein 2a (PBP2a) of methicillin-resistant Staphylococcus aureus (MRSA) and penicillin-binding protein 2x (PBP2x) of Streptococcus pneumoniae, using amoxicillin and cefotaxime as reference standards. Methods: Molecular docking and interaction analysis prioritised quercitrin, apigetrin, quercetin 3-rutinoside and acid methyl ester for PBP2a, and amyrin, columbin, apigetrin, quercetin 3-rutinoside and N-(2H-tetrazol-5-yl)benzamide for PBP2x. The candidates were further assessed through pharmacokinetic and drug-likeness prediction, 160 ns molecular dynamics (MD) simulations, molecular mechanics/generalised Born surface area (MM/GBSA) analysis and density functional theory (DFT). Results: Quercetin 3-rutinoside emerged as the highest-priority computational dual-target candidate, with the numerically most favourable within-protocol MM/GBSA estimates for PBP2a (−58.51 kcal mol−1) and PBP2x (−55.92 kcal mol−1) among the tested compounds and controls. The compound also had the lowest PBP2a root-mean-square deviation (RMSD; 1.64 Å) and root-mean-square fluctuation (RMSF; 1.26 Å), indicating lower global deviation and residue-level fluctuation in the PBP2a simulation. Against PBP2x, quercetin 3-rutinoside exhibited a higher RMSD (4.98 Å) but a relatively low RMSF (1.75 Å), consistent with greater global protein reorganisation alongside comparatively limited residue-level fluctuation. DFT descriptors of quercetin 3-rutinoside indicated moderate electronic responsiveness, whereas pharmacokinetic profiling revealed high molecular weight, rule-of-five violations, low predicted gastrointestinal absorption and P-glycoprotein liability. Conclusions: Overall, quercetin 3-rutinoside was the highest-ranked computational dual-PBP candidate from D. oliveri; this prioritisation does not establish PBP inhibition and requires structural optimisation and biochemical, antibacterial, safety and in vivo validation.

Drugs and Drug CandidatesVol. 5(3)
Durban University of Technology (ZA)
Openalex Percentile: Top 13%
Antimicrobial Peptides and Activities
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