Most scientific facilities produce large amounts of heterogeneous data at a rapid pace. Managing users, instruments, reports and invoices presents additional challenges. To address these challenges, EMhub, a web platform designed to support the daily operations and record-keeping of a scientific facility, has been introduced. EMhub enables the easy management of user information, instruments, bookings and projects. The application was initially developed to meet the needs of a cryoEM facility, but its functionality and adaptability have proven to be broad enough to be extended to other data-generating centers. The expansion of EMHub is enabled by the modular nature of its core functionalities. The application allows external processes to be connected via a REST API, automating tasks such as folder creation, user and password generation, and the execution of real-time data-processing pipelines. EMhub has been used for several years at the Swedish National CryoEM Facility and has been installed in the CryoEM center at the Structural Biology Department at St. Jude Children’s Research Hospital. A fully automated single-particle pipeline has been implemented for on-the-fly data processing and analysis. At St. Jude, the X-Ray Crystallography Center and the Single-Molecule Imaging Center have already expanded the platform to support their operational and data-management workflows.

The Protein Dynamics & Transient Interactions conference brought together researchers from diverse fields in biological chemistry, structural biology, biophysics and computational biology. This event provided an invaluable platform to discuss how studying the dynamic features of proteins and their role in driving interactions with macro- and small molecules is crucial in health and disease, bioenergy and the environment. Most of the science presented was new and unpublished, with presenters showing some of the most advanced approaches to studying protein dynamics, including spectroscopic techniques (NMR, IR, EPR, fluorescence), computational chemistry and time-resolved X-ray and cryoEM. The quality of talks was exceptionally high, which stimulated excellent audience engagement and lively debates that carried on into the post-session and coffee breaks.

Since the release of AlphaFold, researchers have actively refined its predictions and attempted to integrate it into existing pipelines for determining protein structures. These efforts have introduced a number of functionalities and optimisations at the latest Critical Assessment of protein Structure Prediction edition (CASP15), resulting in a marked improvement in the prediction of multimeric protein structures. However, AlphaFold’s capability of predicting large protein complexes is still limited and integrating experimental data in the prediction pipeline is not straightforward. In this study, we introduce AF_unmasked to overcome these limitations. Our results demonstrate that AF_unmasked can integrate experimental information to build larger or hard to predict protein assemblies with high confidence. The resulting predictions can help interpret and augment experimental data. This approach generates high quality (DockQ score > 0.8) structures even when little to no evolutionary information is available and imperfect experimental structures are used as a starting point. AF_unmasked is developed and optimised to fill incomplete experimental structures (structural inpainting), which may provide insights into protein dynamics. In summary, AF_unmasked provides an easy-to-use method that efficiently integrates experiments to predict large protein complexes more confidently.

Cryogenic electron microscopy (cryo-EM) has become in the past 10 years one of the major tools for the structure determination of proteins. Nowadays, the structure prediction field is experiencing the same revolution and, using AlphaFold2, it is possible to have high-confidence atomic models for virtually any polypeptide chain, smaller than 4000 amino acids, in a simple click. Even in a scenario where all polypeptide chain folding were to be known, cryo-EM retains specific characteristics that make it a unique tool for the structure determination of macromolecular complexes. Using cryo-EM, it is possible to obtain near-atomic structures of large and flexible megacomplexes, describe conformational panoramas, and potentially develop a structural proteomic approach from fully ex vivo specimens.

Background NorQ, a member of the MoxR-class of AAA+ ATPases, and NorD, a protein containing a Von Willebrand Factor Type A (VWA) domain, are essential for non-heme iron (Fe_B) cofactor insertion into cytochrome c-dependent nitric oxide reductase (cNOR). cNOR catalyzes NO reduction, a key step of bacterial denitrification. This work aimed at elucidating the specific mechanism of NorQD-catalyzed Fe_B insertion, and the general mechanism of the MoxR/VWA interacting protein families.

Results We show that NorQ-catalyzed ATP hydrolysis, an intact VWA domain in NorD, and specific surface carboxylates on cNOR are all features required for cNOR activation. Supported by BN-PAGE, low-resolution cryo-EM structures of NorQ and the NorQD complex show that NorQ forms a circular hexamer with a monomer of NorD binding both to the side and to the central pore of the NorQ ring. Guided by AlphaFold predictions, we assign the density that “plugs” the NorQ ring pore to the VWA domain of NorD with a protruding “finger” inserting through the pore and suggest this binding mode to be general for MoxR/VWA couples.

Conclusions Based on our results, we present a tentative model for the mechanism of NorQD-catalyzed cNOR remodeling and suggest many of its features to be applicable to the whole MoxR/VWA family.

Cryogenic electron microscopy (cryo-EM) is constantly developing and growing as a major technique for structure determination of protein complexes. Here, we detail the first steps of any cryo-EM project: specimen preparation and data collection. Step by step, a list of material needed is provided and the sequence of actions to carry out is given. We hope that these protocols will be useful to all people getting started with cryo-EM.

The ring-forming AAA+ hexamer ClpC1 associates with the peptidase ClpP1P2 to form a central ATP-driven protease in Mycobacterium tuberculosis (Mtb). ClpC1 is essential for Mtb viability and has been identified as the target of antibacterial peptides like CyclomarinA (CymA) that exhibit strong toxicity toward Mtb. The mechanistic actions of these drugs are poorly understood. Here, we dissected how ClpC1 activity is controlled and how this control is deregulated by CymA. We show that ClpC1 exists in diverse activity states correlating with its assembly. The basal activity of ClpC1 is low, as it predominantly exists in an inactive nonhexameric resting state. We show that CymA stimulates ClpC1 activity by promoting formation of supercomplexes composed of multiple ClpC1 hexameric rings, enhancing ClpC1–ClpP1P2 degradation activity toward various substrates. Both the ClpC1 resting state and the CymA-induced alternative assembly state rely on interactions between the ClpC1 coiled-coil middle domains (MDs). Accordingly, we found that mutation of the conserved aromatic F444 residue located at the MD tip blocks MD interactions and prevents assembly into higher order complexes, thereby leading to constitutive ClpC1 hexamer formation. We demonstrate that this assembly state exhibits the highest ATPase and proteolytic activities, yet its heterologous expression in Escherichia coli is toxic, indicating that the formation of such a state must be tightly controlled. Taken together, these findings define the basis of control of ClpC1 activity and show how ClpC1 overactivation by an antibacterial drug generates toxicity.

Lipid nanoparticles (LNPs) are versatile structures with tunable physicochemical properties that are ideally suited as a platform for vaccine delivery and RNA therapeutics. A key barrier to LNP rational design is the inability to relate composition and structure to intracellular processing and function. Here Single Particle Automated Raman Trapping Analysis (SPARTA) is combined with small-angle X-ray and neutron scattering (SAXS/SANS) techniques to link LNP composition with internal structure and morphology and to monitor dynamic LNP-phospholipase D (PLD) interactions. This analysis demonstrates that PLD, a key intracellular trafficking mediator, can access the entire LNP lipid membrane to generate stable, anionic LNPs. PLD activity on vesicles with matched amounts of enzyme substrate is an order of magnitude lower, indicating that the LNP lipid membrane structure can be used to control enzyme interactions. This represents an opportunity to design enzyme-responsive LNP solutions for stimuli-responsive delivery and diseases where PLD is dysregulated.

AlphaFold2 predictions, X-ray crystallography and cryo-EM analyses reveal how related human glycoproteins GP2 and uromodulin catch pathogenic bacteria by presenting a high-mannose glycan that acts as a decoy for fimbrial adhesin FimH. Glycoprotein 2 (GP2) and uromodulin (UMOD) filaments protect against gastrointestinal and urinary tract infections by acting as decoys for bacterial fimbrial lectin FimH. By combining AlphaFold2 predictions with X-ray crystallography and cryo-EM, we show that these proteins contain a bipartite decoy module whose new fold presents the high-mannose glycan recognized by FimH. The structure rationalizes UMOD mutations associated with kidney diseases and visualizes a key epitope implicated in cast nephropathy.

Micro-crystal electron diffraction (MicroED) has shown great potential for structure determination of macromolecular crystals too small for X-ray diffraction. However, specimen preparation remains a major bottleneck. Here, we report a simple method for preparing MicroED specimens, named Preassis, in which excess liquid is removed through an EM grid with the assistance of pressure. We show the ice thicknesses can be controlled by tuning the pressure in combination with EM grids with appropriate carbon hole sizes. Importantly, Preassis can handle a wide range of protein crystals grown in various buffer conditions including those with high viscosity, as well as samples with low crystal concentrations. Preassis is a simple and universal method for MicroED specimen preparation, and will significantly broaden the applications of MicroED.