Antibiotics with novel modes of action targetingGram-negative bacteria are needed to resolve the antimicrobial resistance crisis 1-3 . These pathogens are protected by an additional outer membrane, rendering proteins on the cell surface attractive drug targets 4,5 . The natural compound darobactin targets the insertase BamA 6 , the central unit of the essential BAM complex, which facilitates folding and insertion of outer membrane proteins 7-13 . BamA lacks a typical catalytic center, and it is not obvious how a small molecule such as darobactin might inhibit its function. Here, we resolve the darobactin mode of action at the atomic level by a combination of cryo-electron microscopy, X-ray crystallography, native mass spectrometry, in vivo experiments and molecular dynamics simulations. Two unique cyclizations pre-organize the darobactin peptide in a rigid βstrand conformation. This creates a mimic of the recognition signal of native substrates with a superior ability to bind to the lateral gate of BamA. Upon binding, darobactin replaces a lipid molecule from the lateral gate to use the membrane environment as an extended binding pocket. Because the interaction between darobactin and BamA is largely mediated by backbone contacts, it is particularly robust against potential resistance mutations. Our results identify the lateral gate as a functional hotspot in BamA and open the path for rational design of antibiotics targeting this bacterial Achilles heel.The BAM complex was purified from E. coli outer membranes (OMs), reconstituted in n-dodecyl maltoside (DDM) micelles and incubated with darobactin A (darobactin). The cryo-EM reconstruction at 3.0 Å resolution revealed the position of a bound darobactin molecule (Fig. 1a, Extended Data Fig. 1, Supplementary Table 1). BamA features a lateral gate facing the membrane, formed by strands β1 and β16 through a kink in strand β16 at residue Gly807.Previous work showed that substrate-free BamA exists in two interchanging conformations with the gate either being open or being closed by the β16-strand straightening to zip up against

A distinctive feature of the Gram-negative bacterial cell envelope is the asymmetric outer membrane (OM), where lipopolysaccharides and phospholipids (PLs) reside in the outer and inner leaflets, respectively. This unique lipid asymmetry renders the OM impermeable to external insults, including antibiotics and bile salts. In , the complex comprising osmoporin OmpC and the OM lipoprotein MlaA is believed to maintain lipid asymmetry by removing mislocalized PLs from the outer leaflet of the OM. How this complex performs this function is unknown. Here, we defined the molecular architecture of the OmpC-MlaA complex to gain insights into its role in PL transport. Using photo-cross-linking and molecular dynamics simulations, we established that MlaA interacts extensively with OmpC and is located entirely within the lipid bilayer. In addition, MlaA forms a hydrophilic channel, likely enabling PL translocation across the OM. We further showed that flexibility in a hairpin loop adjacent to the channel is critical in modulating MlaA activity. Finally, we demonstrated that OmpC plays a functional role in maintaining OM lipid asymmetry together with MlaA. Our work offers glimpses into how the OmpC-MlaA complex transports PLs across the OM and has important implications for future antibacterial drug development.

Glycans play a vital role in a large number of cellular processes. Their complex and flexible nature hampers structure−function studies using experimental techniques. Molecular dynamics (MD) simulations can help in understanding dynamic aspects of glycans if the force field parameters used can reproduce key experimentally observed properties. Here, we present optimized coarse-grained (CG) Martini force field parameters for Nglycans, calibrated against experimentally derived binding affinities for lectins. The CG bonded parameters were obtained from atomistic (ATM) simulations for different glycan topologies including high mannose and complex glycans with various branching patterns. In the CG model, additional elastic networks are shown to improve maintenance of the overall conformational distribution. Solvation free energies and octanol−water partition coefficients were also calculated for various N-glycan disaccharide combinations. When using standard Martini nonbonded parameters, we observed that glycans spontaneously aggregated in the solution and required down-scaling of their interactions for reproduction of ATM model radial distribution functions. We also optimized the nonbonded interactions for glycans interacting with seven lectin candidates and show that a relatively modest scaling down of the glycan-protein interactions can reproduce free energies obtained from experimental studies. These parameters should be of use in studying the role of glycans in various glycoproteins and carbohydrate binding proteins as well as their complexes, while benefiting from the efficiency of CG sampling.