Free Energy Barriers for Passive Drug Transport through the Mycobacterium tuberculosis Outer Membrane: A Molecular Dynamics Study.
Ilya S SteshinAlexander V VasyankinEkaterina A ShirokovaAlexey V RozhkovGrigory D LivshitsSergey V PanteleevEugene V RadchenkoStanislav K IgnatovVladimir A PalyulinPublished in: International journal of molecular sciences (2024)
The emergence of multi-drug-resistant tuberculosis strains poses a significant challenge to modern medicine. The development of new antituberculosis drugs is hindered by the low permeability of many active compounds through the extremely strong bacterial cell wall of mycobacteria. In order to estimate the ability of potential antimycobacterial agents to diffuse through the outer mycolate membrane, the free energy profiles, the corresponding activation barriers, and possible permeability modes of passive transport for a series of known antibiotics, modern antituberculosis drugs, and prospective active drug-like molecules were determined using molecular dynamics simulations with the all-atom force field and potential of mean-force calculations. The membranes of different chemical and conformational compositions, density, thickness, and ionization states were examined. The typical activation barriers for the low-mass molecules penetrating through the most realistic membrane model were 6-13 kcal/mol for isoniazid, pyrazinamide, and etambutol, and 19 and 25 kcal/mol for bedaquilin and rifampicin. The barriers for the ionized molecules are usually in the range of 37-63 kcal/mol. The linear regression models were derived from the obtained data, allowing one to estimate the permeability barriers from simple physicochemical parameters of the diffusing molecules, notably lipophilicity and molecular polarizability.
Keyphrases
- mycobacterium tuberculosis
- molecular dynamics
- molecular dynamics simulations
- drug resistant
- density functional theory
- single molecule
- pulmonary tuberculosis
- cell wall
- multidrug resistant
- endothelial cells
- molecular docking
- acinetobacter baumannii
- adverse drug
- drug induced
- risk assessment
- mass spectrometry
- machine learning
- optical coherence tomography
- low grade
- hepatitis c virus
- cystic fibrosis
- simultaneous determination
- gas chromatography