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In Silico Lead Identification of Staphylococcus aureus LtaS Inhibitors: A High-Throughput Computational Pipeline Towards Prototype Development
by
Shoaib, Tagyedeen H.
, Alrumaihi, Layla A.
, Mostafa, Ahmed
, Mukhtar, Rua M.
, Alturki, Mansour S.
, Hussein, Dania
, Laabei, Maisem
, Alansari, Fatimah A.
, Al Khzem, Abdulaziz H.
, Gomaa, Mohamed S.
in
Anti-Bacterial Agents - chemistry
/ Anti-Bacterial Agents - pharmacology
/ Antibiotics
/ Antimicrobial agents
/ Bacterial Proteins - antagonists & inhibitors
/ Bacterial Proteins - chemistry
/ Bacterial Proteins - metabolism
/ Drug development
/ Drug resistance
/ Enzyme Inhibitors - chemistry
/ Enzyme Inhibitors - pharmacology
/ Gram-positive bacteria
/ High-Throughput Screening Assays
/ Libraries
/ Ligands
/ Mechanics
/ Molecular Docking Simulation
/ Molecular Dynamics Simulation
/ Natural products
/ Physiology
/ Proteins
/ Staphylococcus aureus - drug effects
/ Staphylococcus aureus - enzymology
/ Staphylococcus infections
/ Toxicity
2025
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In Silico Lead Identification of Staphylococcus aureus LtaS Inhibitors: A High-Throughput Computational Pipeline Towards Prototype Development
by
Shoaib, Tagyedeen H.
, Alrumaihi, Layla A.
, Mostafa, Ahmed
, Mukhtar, Rua M.
, Alturki, Mansour S.
, Hussein, Dania
, Laabei, Maisem
, Alansari, Fatimah A.
, Al Khzem, Abdulaziz H.
, Gomaa, Mohamed S.
in
Anti-Bacterial Agents - chemistry
/ Anti-Bacterial Agents - pharmacology
/ Antibiotics
/ Antimicrobial agents
/ Bacterial Proteins - antagonists & inhibitors
/ Bacterial Proteins - chemistry
/ Bacterial Proteins - metabolism
/ Drug development
/ Drug resistance
/ Enzyme Inhibitors - chemistry
/ Enzyme Inhibitors - pharmacology
/ Gram-positive bacteria
/ High-Throughput Screening Assays
/ Libraries
/ Ligands
/ Mechanics
/ Molecular Docking Simulation
/ Molecular Dynamics Simulation
/ Natural products
/ Physiology
/ Proteins
/ Staphylococcus aureus - drug effects
/ Staphylococcus aureus - enzymology
/ Staphylococcus infections
/ Toxicity
2025
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In Silico Lead Identification of Staphylococcus aureus LtaS Inhibitors: A High-Throughput Computational Pipeline Towards Prototype Development
by
Shoaib, Tagyedeen H.
, Alrumaihi, Layla A.
, Mostafa, Ahmed
, Mukhtar, Rua M.
, Alturki, Mansour S.
, Hussein, Dania
, Laabei, Maisem
, Alansari, Fatimah A.
, Al Khzem, Abdulaziz H.
, Gomaa, Mohamed S.
in
Anti-Bacterial Agents - chemistry
/ Anti-Bacterial Agents - pharmacology
/ Antibiotics
/ Antimicrobial agents
/ Bacterial Proteins - antagonists & inhibitors
/ Bacterial Proteins - chemistry
/ Bacterial Proteins - metabolism
/ Drug development
/ Drug resistance
/ Enzyme Inhibitors - chemistry
/ Enzyme Inhibitors - pharmacology
/ Gram-positive bacteria
/ High-Throughput Screening Assays
/ Libraries
/ Ligands
/ Mechanics
/ Molecular Docking Simulation
/ Molecular Dynamics Simulation
/ Natural products
/ Physiology
/ Proteins
/ Staphylococcus aureus - drug effects
/ Staphylococcus aureus - enzymology
/ Staphylococcus infections
/ Toxicity
2025
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In Silico Lead Identification of Staphylococcus aureus LtaS Inhibitors: A High-Throughput Computational Pipeline Towards Prototype Development
Journal Article
In Silico Lead Identification of Staphylococcus aureus LtaS Inhibitors: A High-Throughput Computational Pipeline Towards Prototype Development
2025
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Overview
The emergence of multidrug-resistant Staphylococcus aureus underscores the urgent need for novel therapeutic agents targeting essential bacterial pathways. The lipoteichoic acid synthase (LtaS) is crucial for the synthesis of lipoteichoic acid in the cell wall of Gram-positive bacteria and represents a promising and vulnerable target for antimicrobial drug development. This study employed a comprehensive computational pipeline to identify potent inhibitors of the LtaS enzyme. A library of natural compounds was retrieved from the COCONUT database and screened against the crystal structure of the extracellular domain of LtaS (eLtaS) (PDB ID: 2W5R, obtained from the Protein Data Bank) through a multi-stage molecular docking strategy. This process started with High-Throughput Virtual Screening (HTVS), followed by Standard Precision (SP) docking, and culminated in Extra Precision (XP) docking to refine the selection of hits. The top-ranking compounds from XP docking were subsequently subjected to MM-GBSA binding free energy calculations for further filtration. The stability and dynamic behavior of the resulting candidate complexes were then evaluated using 100 ns molecular dynamics (MD) simulations, which confirmed the structural integrity and binding stability of the ligands. Density Functional Theory calculations revealed that screened ligands exhibit improved electronic stabilization and charge-transfer characteristics compared to a reference compound, suggesting enhanced reactivity and stability relevant for hit identification. Finally, ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiling was conducted to assess the drug-likeness and pharmacokinetic safety of the lead compounds. These findings support them as promising orally active leads for further optimization. Our integrated approach shortlisted eight initial hits (A–H) that showed interesting scaffold diversity and finally identified two compounds, herein referred to as Compound A and Compound B, which demonstrated stable binding, favorable free energy, and an acceptable Absorption, Distribution, Metabolism, and Excretion, and Toxicity (ADMET) profile. These candidates emerge as promising starting points for developing novel anti-staphylococcal agents targeting the LtaS enzyme that cand be further proved by experimental validation.
Publisher
MDPI AG
Subject
Anti-Bacterial Agents - chemistry
/ Anti-Bacterial Agents - pharmacology
/ Bacterial Proteins - antagonists & inhibitors
/ Bacterial Proteins - chemistry
/ Bacterial Proteins - metabolism
/ Enzyme Inhibitors - chemistry
/ Enzyme Inhibitors - pharmacology
/ High-Throughput Screening Assays
/ Ligands
/ Molecular Docking Simulation
/ Molecular Dynamics Simulation
/ Proteins
/ Staphylococcus aureus - drug effects
/ Staphylococcus aureus - enzymology
/ Toxicity
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