Targeting decaprenylphosphoryl-β-D-ribose 2'-epimerase for Innovative Drug Development Against Mycobacterium Tuberculosis Drug-Resistant Strains.
Ghyzlane El HaddoumiMariam MansouriJouhaina KourouLahcen BelyamaniAzeddine IbrahimiIlham KandoussiPublished in: Bioinformatics and biology insights (2024)
Tuberculosis (TB) remains a global health challenge with the emergence of drug-resistant Mycobacterium tuberculosis variants, necessitating innovative drug molecules. One potential target is the cell wall synthesis enzyme decaprenylphosphoryl-β-D-ribose 2'-epimerase (DprE1), crucial for virulence and survival. This study employed virtual screening of 111 Protein Data Bank (PDB) database molecules known for their inhibitory biological activity against DprE1 with known IC50 values. Six compounds, PubChem ID: 390820, 86287492, 155294899, 155522922, 162651615, and 162665075, exhibited promising attributes as drug candidates and validated against clinical trial inhibitors BTZ043, TBA-7371, PBTZ169, and OPC-167832. Concurrently, this research focused on DprE1 mutation effects using molecular dynamic simulations. Among the 10 mutations tested, C387N significantly influenced protein behavior, leading to structural alterations observed through root-mean-square deviation (RMSD), root-mean-square fluctuation (RMSF), radius of gyration (Rg), and solvent-accessible surface area (SASA) analysis. Ligand 2 (ID: 390820) emerged as a promising candidate through ligand-based pharmacophore analysis, displaying enhanced binding compared with reference inhibitors. Molecular dynamic simulations highlighted ligand 2's interaction with the C387N mutation, reducing fluctuations, augmenting hydrogen bonding, and influencing solvent accessibility. These collective findings emphasize ligand 2's efficacy, particularly against severe mutations, in enhancing protein-ligand complex stability. Integrated computational and pharmacophore methodologies offer valuable insights into drug candidates and their interactions within intricate protein environments. This research lays a strategic foundation for targeted interventions against drug-resistant TB, highlighting ligand 2's potential for advanced drug development strategies.
Keyphrases
- drug resistant
- mycobacterium tuberculosis
- multidrug resistant
- acinetobacter baumannii
- clinical trial
- molecular dynamics
- pulmonary tuberculosis
- escherichia coli
- adverse drug
- cell wall
- binding protein
- pseudomonas aeruginosa
- molecular docking
- staphylococcus aureus
- gene expression
- early onset
- cancer therapy
- risk assessment
- emergency department
- drug induced
- study protocol
- open label
- ionic liquid
- climate change
- electronic health record
- human immunodeficiency virus
- copy number
- antimicrobial resistance
- small molecule
- deep learning
- monte carlo
- molecular dynamics simulations
- solar cells
- hepatitis c virus
- artificial intelligence
- big data