Cholesterol catalyzes unfolding in membrane-inserted motifs of the pore forming protein cytolysin A

Self-Assembly of Mycolic Acid in Water: Monolayer or Bilayer

The enduring pathogenicity of Mycobacterium tuberculosis can be attributed to its lipid-rich cell wall, with mycolic acids (MAs) being a significant constituent. Different MAs' fluidity and structural adaptability within the bacterial cell envelope significantly influence their physicochemical properties, operational capabilities, and pathogenic potential. Therefore, an accurate conformational representation of various MAs in aqueous media can provide insights into their potential role within the intricate structure of the bacterial cell wall. We have carried out MD simulations of MAs in an aqueous solution and shed light on various structural properties such as thickness, order parameters, area-per-MAs, conformational changes, and principle component (PC) in the single-component and mixture MAs monolayer. The different conformational populations in the monolayer were estimated using the distance-based analysis between the function groups represented as W, U, and Z conformations that lead to the fold of the MAs chain in the monolayer. Additionally, we have also simulated the mixture of alpha-MA (α-MA or AMA), methoxy-MA (MMA), and keto-MA (KMA) with 50.90% AMA, 36.36% MMA, and 12.72% KMA composition. The thickness of the MAs monolayer was observed to range from 5 to 7 nm with an average 820 kg/m3 density for α-MA, MMA, and KMA quantitative agreement with experimental results. The mero chain (long chain), consisting of a functional group at the proximal and distal positions, tends to fold and exhibit a more disordered phase than the short chain. The keto-MA showed the greatest WUZ total conformations (35.32%) with decreasing trend of eZ > eU > aU > aZ folds in both single component and mixture. Our results are in quantitative agreement with the experimental observations. The sZ folds show the lowest conformational probability in monolayer assembly (0.75% in a single component and 1.1% in a mixture). However, eU and aU folds are most probable for AMA and MMA. One striking observation is the abundance of MA conformers beyond the known WUZ convention because of the wide range distribution of intramolecular distances and change in dihedral angles. From a thermodynamic perspective, all mycolic acid monolayers in this study within the microsecond-long simulation, MA molecules self-assembled, and the self-assembled monolayer was found to be stable. The conformation of MAs corresponding to lower free energy minima in the monolayer gives rise to tighter packing and a highly dense self-assembly. Such a highly packed assembly shows higher resistance for drug permeability. Therefore, we concluded that the monolayer formed by AMA will be more densely packed and may cause more resistance for the drug molecules.

Structure of the Bacterial Cell Envelope and Interactions with Antimicrobials: Insights from Molecular Dynamics Simulations

Bacteria have evolved over 3 billion years, shaping our intrinsic and symbiotic coexistence with these single-celled organisms. With rising populations of drug-resistant strains, the search for novel antimicrobials is an ongoing area of research. Advances in high-performance computing platforms have led to a variety of molecular dynamics simulation strategies to study the interactions of antimicrobial molecules with different compartments of the bacterial cell envelope of both Gram-positive and Gram-negative species. In this review, we begin with a detailed description of the structural aspects of the bacterial cell envelope. Simulations concerned with the transport and associated free energy of small molecules and ions through the outer membrane, peptidoglycan, inner membrane and outer membrane porins are discussed. Since surfactants are widely used as antimicrobials, a section is devoted to the interactions of surfactants with the cell wall and inner membranes. The review ends with a discussion on antimicrobial peptides and the insights gained from the molecular simulations on the free energy of translocation. Challenges involved in developing accurate molecular models and coarse-grained strategies that provide a trade-off between atomic details with a gain in sampling time are highlighted. The need for efficient sampling strategies to obtain accurate free energies of translocation is also discussed. Molecular dynamics simulations have evolved as a powerful tool that can potentially be used to design and develop novel antimicrobials and strategies to effectively treat bacterial infections.