JACS Au

Affinity purification is a essential technique for isolating highly purified proteins; however, generating affinity ligands require significant time and financial investment. To address these limitations, this study proposes a novel affinity chromatography method utilizing in silico-designed cyclic peptides as ligands. Targeting Complement C1q (C1q), a plasma protein that plays crucial roles in classical complement pathway, we employed the biomolecular structure prediction model, AlphaFold2, to design specific binding cyclic peptides. Based on these designs, we synthesized lariat-type cyclic peptides characterized by disulfide cyclization and biotinylation, which were subsequently immobilized on streptavidin carriers. Performance tests confirmed that the resulting column specifically captured C1q, allowing for elution via a standard NaCl concentration gradient. Notably, high selectivity was preserved even in the presence of plasma, underscoring the ligands practical robustness. By overcoming traditional constraints through (1) rapid and simple design, (2) high specificity, and (3) universal versatility without genetic modification, this de novo design strategy represents a potential breakthrough in protein purification technologies. HighlightsO_LIAI-driven de novo design generated a specific cyclic peptide ligand for Complement C1q C_LIO_LIThe synthetic ligand enabled one-step purification of Complement C1q directly from human plasma C_LIO_LIMild elution conditions preserved the targets oligomeric structure and native interactome C_LIO_LIThis label-free strategy offers a rapid, low-cost alternative to antibody-based chromatography C_LI

Conformational dynamics play a central role in enzyme function by controlling substrate access and productive binding. Yet mutations that beneficially modulate these properties are difficult to identify. Here, we used ultrahigh-throughput fluorescence-activated droplet sorting (FADS) with a bulky fluorogenic substrate derived from coumarin (COU-3) to impose steric selection pressure on the haloalkane dehalogenase LinB. Screening a focused library yielded five single substitutions located 11.5-15.5 [A] from the catalytic centre. Variant I138N showed a fourfold increase in catalytic efficiency toward COU-3 through reduced KM and increased kcat, associated with increased cap-domain flexibility and facilitated substrate entry. In contrast, variant P208S markedly reduced substrate inhibition and shifted specificity toward bulkier iodinated haloalkanes by reshaping its tunnel environment. Integrated kinetic and structural analyses revealed that screening with bulky substrates directs selection toward distal regions controlling substrate access and unproductive binding. These findings demonstrate that ultrahigh-throughput FADS can reveal dynamic mechanisms of enzyme adaptation that remain difficult to predict by rational design. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=183 SRC="FIGDIR/small/713925v1_ufig1.gif" ALT="Figure 1"> View larger version (51K): org.highwire.dtl.DTLVardef@782038org.highwire.dtl.DTLVardef@8b43f3org.highwire.dtl.DTLVardef@11a403eorg.highwire.dtl.DTLVardef@6fcaea_HPS_FORMAT_FIGEXP M_FIG C_FIG

The conformational dynamics of a model cationic protein in water and in the presence of anionic sodium dodecyl sulphate (SDS) and cationic cetyltrimethylamonium bromide (CTAB) surfactants at different concentrations were investigated using all-atom molecular dynamics simulations. Free-energy landscapes constructed along principal components reveal a compact, well-defined native basin at 25 {degrees}C in water, whereas elevated temperature (100 {degrees}C) induces a broadening of the conformational space and the emergence of multiple metastable states. The presence of surfactants further modulates this behavior in a concentration-dependent manner. Cluster population analysis shows that SDS promotes a highly heterogeneous ensemble characterized by reduced dominance of the native-like cluster, while CTAB partially protects the protein from thermal denaturation at higher concentrations. Radial distribution functions demonstrate strong accumulation of SDS headgroups around the protein and pronounced insertion of SDS alkyl tails into hydrophobic protein regions, indicating direct hydrophobic destabilization and micelle-assisted unfolding. In contrast, CTAB exhibits weaker headgroup association owing to electrostatic repulsion and reduced tail-hydrophobic contacts, suggesting a less disruptive interaction mechanism. At high concentration, CTAB aggregates provide a structured hydrophobic environment that stabilizes the folded state and suppresses denaturation. Together, these results provide a molecular-level picture of how surfactant chemistry and concentration govern the conformational stability of a cationic protein, highlighting the dominant role of hydrophobic interactions in surfactant-induced denaturation at high temperature. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=89 SRC="FIGDIR/small/717321v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@f68004org.highwire.dtl.DTLVardef@14e9a98org.highwire.dtl.DTLVardef@18771d3org.highwire.dtl.DTLVardef@141fc6f_HPS_FORMAT_FIGEXP M_FIG C_FIG

Rapid and highly selective sensing of ultra-low concentration protein biomarkers remains a critical challenge important for early disease diagnosis and monitoring. Here, we use conical SiO2 nanopore-based biosensing for the rapid detection of heart-type fatty acid binding protein (H-FABP). Antibodies were covalently immobilized on the nanopore surface through siloxane chemistry. The functionalized asymmetric nanopores generate a characteristic rectifying current-voltage response, which shows a distinct shift upon binding to the target protein due to partial neutralization of the negatively charged pore surface. The sensor exhibits excellent sensitivity in the attomolar to nanomolar concentration range with a detection limit (LOD) of [~]0.4 aM. Furthermore, the platform exhibits high selectivity, distinguishing H-FABP from non-target proteins (HSA and Hb) at concentrations six orders of magnitude higher. We also demonstrate that nanopores can be regenerated using sodium hypochloride and O2 plasma treatment, enabling repeated functionalization and reuse.

Protein kinases regulate signaling by recognizing short sequence motifs, and how these motifs bind influences both specificity and therapeutic strategies that target kinase pathways. Peptide-based inhibitors that engage substrate-recognition regions are attracting interest, but designing them requires an understanding of how a flexible peptide approaches and settles into the bound pose. Traditional studies have focused on the bound pose and affinities, whereas the steps that link the initial encounter with the bound pose have been explored less thoroughly because the relevant intermediates are too short-lived to capture experimentally and evolve on timescales that standard molecular dynamics cannot readily access. Here, we focused on Abl kinase and Abltide, the experimentally identified optimal substrate peptide for Abl kinase, and examined the sequence of events linking initial encounter to the bound pose using two-dimensional replica exchange (gREST/REUS), which selectively enhances flexibility in the peptide and its binding interface while also sampling progression along a distance coordinate. The resulting simulations yielded a detailed binding landscape, revealing five distinct encounter regions outside the substrate-binding site and six intermediate states that may connect the initial approach to the bound pose. Some encounter regions and intermediate states participate in the dominant binding pathways. During this process, EF/G/{beta}11 hydrophobic patch, together with G helix negative patch, plays a central role in guiding Abltide toward the substrate-binding site. These findings provide mechanistic insight into substrate recognition by protein kinases and offer a foundation for the rational design of peptide-based inhibitors.

Sirtuins (SIRTs), which remove protein lysine acyl modifications, play crucial roles in diverse cellular processes, including metabolism, gene transcription, DNA damage repair, cell survival, and stress response. Several sirtuins are considered non-oncogene addiction of cancer cells and promising targets for anticancer drug development. High-throughput screening (HTS) methods for sirtuins are critical for the development of potent and isoform-selective sirtuin inhibitors, which are needed to validate the therapeutic potential. Herein, we designed and synthesized a fluorescent polarization (FP) tracer, KP-SC-1. Using this high-affinity tracer, we developed a robust, high-throughput FP competition assay for screening SIRT1-3 inhibitors. The assay was validated by testing known SIRT1-3 inhibitors. The assay can detect NAD+-independent SIRT1-3 inhibitors, as well as NAD+-dependent inhibitors, such as Ex-527 and TM. Finally, our assay showed satisfactory stability and outstanding performance in a pilot library screening. Compared to previous assays, the FP assay uses much less SIRT1-3 enzymes, a feature important for high-throughput library screening. We believe that the FP assay developed here will accelerate the discovery and development of SIRT1-3 inhibitors.

Cells utilize liquid-liquid phase separation to organize biochemical reactions within biomolecular condensates, which function as membraneless organelles. Although these assemblies are known to enhance reaction rates by concentrating reactants, the mechanisms beyond simple mass-action effects remain poorly understood. Here, we examined how the physicochemical microenvironment within condensates modulates reaction kinetics using spontaneous protein ligation as a model reaction, conducting a systematic analysis across various condensates, ranging from structured scaffolds (PRM-SH3 systems) to intrinsically disordered protein (IDP)-based scaffolds such as LAF, TAF, and FUS. We designed a FRET-based proximity-sensitive client probe to quantify increases in effective local concentration arising from excluded-volume effects. In parallel, we measured internal hydrophilicity and water activity, revealing them as additional key determinants of reaction acceleration. Together, the findings presented here elucidate how phase-separated compartments regulate biochemical reactions through the interplay of physical (effective concentration) and chemical (hydrophilicity and water activity) microenvironments and provide mechanistic insights for engineering condensates with tunable reactivity.

The CRISPR-Cas9 system has revolutionized genome engineering, yet its full therapeutic potential remains constrained by challenges in precisely modulating its activity and specificity. Here we report a fully computational end-to-end pipeline for the de novo design of a single-domain VHH nanobody (NbSpCas9-v1) targeting a structurally conserved, non-catalytic epitope at the PAM-interacting (PI) and RuvC-III interface of Streptococcus pyogenes Cas9 (SpCas9; PDB: 4UN3). Nanobody sequences were generated using BoltzGen, a generative diffusion binder design framework, and co-folded with SpCas9 using Boltz-2 to evaluate structural confidence and binding affinity. The top-ranked model (SpCas9_4UN3_Bivalent_Hub_v1) achieved a complex pLDDT of 0.8406, an aggregate score of 0.8016, and an ipTM of >0.8, indicating high confidence in the nanobody-antigen interface. The designed 1,616-residue quaternary complex (SpCas9 + sgRNA + DNA + nanobody) was subjected to 10 ns of all-atom molecular dynamics (MD) simulation using the AMBER14SB force field within the GROMACS/OpenMM framework. The complex stabilized at RMSD [~]6 [A] with a radius of gyration of 39-44 [A], confirming thermodynamic stability under physiological conditions (310 K, 0.15 M NaCl). A conserved 96.3 [A] inter-molecular distance between the nanobody centroid and the HNH catalytic residue H840 establishes NbSpCas9-v1 as a distal, non-inhibitory binder -- ideally suited for a Bivalent Hub architecture recruiting secondary effectors to the Cas9 ribonucleoprotein (RNP). The nanobody-Cas9 interface is stabilized by 8 hydrogen bonds, 4 salt bridges, and [~]1,850 [A]2 of buried solvent-accessible surface area. These results provide a rigorous structural and dynamic foundation for experimental validation of VHH-based CRISPR-Cas9 enhancers and modulators. GRAPHICAL ABSTRACTThe computational workflow proceeds from SpCas9 crystal structure acquisition (PDB: 4UN3) through BoltzGen nanobody design, Boltz-2 structural co-folding, 10 ns explicit-solvent MD validation, and Bivalent Hub functional characterization. The PyMOL rendering below shows the full quaternary complex at atomistic resolution.

Reactive oxygen species generated during inflammation can oxidize viral envelope lipids, with outcomes ranging from modulated infectivity to viral inactivation. For SARS-CoV-2, the molecular mechanisms by which membrane lipid oxidation influences spike protein anchoring remain poorly understood. We use all-atom molecular dynamics (MD) simulations to quantify how graded oxidation of 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) affects the anchoring of the SARS-CoV-2 spike transmembrane (TM) region in an endoplasmic-reticulum-Golgi intermediate compartment (ERGIC)-like multicomponent membrane. Viral envelopes containing 0, 25, 50, 75, and 100% oxidized POPC (PoxnoPC) corresponding to 0 - 55% oxidation of all PO-type phospholipids were simulated with the spike TM helix and cytoplasmic tail embedded in a POPC/POPE/POPI/POPS/cholesterol mixture. Steered MD and umbrella sampling were used to calculate the potential of mean force (PMF) for extracting the TM+CT region along the membrane normal. Partial oxidation (25 - 75% POPC) produced reductions in the detachment barrier that were not statistically distinguishable from the native system within the sampling uncertainty, whereas full POPC oxidation lowered the anchoring free energy by about 23% (from 606 {+/-} 39 to 464 {+/-} 38 kJ mol-1), indicating that oxidation of roughly half of the glycerophospholipids can measurably weaken spike-membrane coupling. Despite this reduction, the remaining barrier (about 180kBT ) is still large, suggesting that oxidation alone may be insufficient for spontaneous spike detachment and likely acts synergistically with mechanical forces during fusion or immune engagement. Analysis of acyl-chain order parameters, area per lipid, membrane thickness, number-density profiles, and lateral lipid clustering reveals that POPC peroxidation decreases lipid order, thins and softens the bilayer, and disrupts cholesterol-stabilized clusters that refer to large cooperative lipid assemblies (>10 lipids) identified via RDF-based clustering. These oxidation-induced changes reduce hydrophobic matching around the TM helix and facilitate its extraction from the viral envelope. Our results provide a mechanistic link between lipid peroxidation, membrane nanostructure, and spike anchoring, supporting lipid oxidation for example during cold atmospheric plasma or ozone treatment as a physically grounded contributing antiviral mechanism against SARS-CoV-2.

Mutant KRAS is a potent oncogene, serving as a tumor driver in many solid human cancers. Current small-molecule inhibitors target the highly conserved G-domain, but to gain further mechanistic insight into the roles of different isoforms, we investigated the strategy of sterically shielding the unstructured hypervariable regions (HVRs). KRAS HVRs undergo a series of post-translational modifications that enable intracellular trafficking and membrane attachment. Previous attempts to drug KRAS by preventing its post-translational modification, based on inhibition of the involved prenylation enzymes have been largely unsuccessful. In this study, we explored the property of Designed Armadillo Repeat Proteins (dArmRPs) to specifically bind unstructured regions. We assembled a dArmRP to recognize the unstructured KRAS4B-HVR and developed it into a high-affinity binder by directed evolution. The resulting dArmRP recognizes the 14 C-terminal residues of unprocessed KRAS4B, thereby blocking the farnesyltransferase-binding epitope. This steric shielding disrupts KRAS4B post-translational modification and thereby significantly reduces its plasma membrane localization, while demonstrating complete selectivity over KRAS4A, NRAS, and HRAS. This work establishes the shielding of intrinsically disordered regions as a precise biochemical strategy to control protein function and provides an isoform-specific tool to dissect KRAS biology. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/712636v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@791ac4org.highwire.dtl.DTLVardef@cc4c91org.highwire.dtl.DTLVardef@b6c920org.highwire.dtl.DTLVardef@4e8a9c_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical representation of how the unstructured KRAS4B-HVR is occupied by a dArmRP, making it inaccessible for the FTase.

Biomolecular condensates form through phase separation driven by multivalent interactions in eukaryotic cells, yet the factors that control small molecule partitioning remain incompletely understood. Building on previous evidence linking hydrophobicity and solubility to condensate affinity, we applied machine learning models to evaluate the role of ionization in this process. Using RDKit molecular descriptors, we trained regularized XGBoost regressors and classifiers across four representative condensates: cGAS-DNA, SUMO-SIM, SH3-PRM, and DHH1. Inclusion of logD, a pH dependent distribution coefficient that reflects effective lipophilicity, consistently improved predictive performance compared to models using only logP or logS. SHAP analysis identified logD as the dominant contributor to model predictions, suggesting that ionization coupled partitioning governs molecular localization within condensates. The addition of three-dimensional descriptors provided no further benefit, indicating that two dimensional physicochemical features and logD are sufficient to capture the main determinants of phase separation behavior. These findings establish logD as a mechanistic link connecting ionization, hydrophobicity, and small molecule partitioning in condensates, and offer a predictive framework for understanding small molecule behavior in these dynamic environments.

Bacterial microcompartments (BMCs) are proteinaceous organelles that spatially organize metabolic reactions in bacteria and represent an attractive scaffold for pathway engineering. Here, we present a proof-of-concept in vitro study demonstrating a simple, scalable, and modular BMC shell-based platform for enzyme encapsulation using the SpyCatcher-SpyTag (SC-ST) covalent conjugation system. To evaluate the generality of this approach, 16 dehydrogenases were selected, of which 13 were successfully expressed and purified as SC-tagged enzymes in E. coli by five research groups working in parallel. Twelve of these efficiently conjugated to ST-fused BMC-T1 proteins, and addition of urea-solubilized BMC-H triggered rapid self-assembly of HT1 shells, resulting in successful encapsulation of all conjugated enzymes. The only enzyme lacking detectable activity after encapsulation was also inactive in its free SC-fused form, indicating that encapsulation retained enzymatic activity for all tested enzymes. Encapsulation modulated enzymatic activity and kinetic parameters in an enzyme-dependent manner, likely arising from variations in catalytic mechanism, structural flexibility affected by immobilization, and sensitivity to the local microenvironment created by encapsulation. Functional characterization of a subset of encapsulated enzymes revealed enhanced thermal stability up to [~]50 {degrees}C and improved storage stability relative to free SC-fused enzymes. Enzyme-loaded shells could be lyophilized and reconstituted without loss of structural integrity or activity. Finally, we demonstrate co-encapsulation of two enzymes within a single shell and their cooperative function through cofactor recycling. Together, these results establish engineered BMCs as a robust and modular platform for organizing multi-enzyme pathways, enabling rapid assembly, stabilization, and functional integration of enzymes for diverse metabolic engineering applications. HighlightsA single strategy enables encapsulation of 12 diverse dehydrogenases in BMCs. SpyCatcher-SpyTag interactions drive rapid enzyme assembly in BMCs. Encapsulated enzymes are active and show improved thermal stability. The platform enables scalable construction of synthetic metabolic modules. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/712704v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1e56ffborg.highwire.dtl.DTLVardef@1ac8b5org.highwire.dtl.DTLVardef@6f23c1org.highwire.dtl.DTLVardef@945c54_HPS_FORMAT_FIGEXP M_FIG C_FIG

Protein self-assembly enables precise nanoscale organization but rarely translates into macroscopic materials that retain functionality beyond aqueous environments. Here, we report that a bacterial microcompartment (BMC) trimer fused with SpyTag (T1-SpyTag), when expressed as a standalone component, undergoes rapid and spontaneous self-assembly into macroscopically visible fibers and layered sheets. These structures span from the nanoscale to the millimeter scale, forming robust three-dimensional protein materials that remain structurally intact and functionally accessible in both solution and dried states. Unlike previously reported SpyTag-enabled BMC systems that function primarily as passive cargo-loading modules, T1-SpyTag macromolecular structures exhibit emergent material behavior, including chemical robustness under denaturing conditions, while preserving covalent reactivity toward SpyCatcher-fused cargos. The multilayered architecture enables tunable surface display, access to ultrathin, processable protein films, and surface renewability through layer-by-layer removal and regeneration. This work demonstrates how a minimal genetic modification of a native protein building block can drive the formation of functional, macroscopic protein materials, thus expanding the design space of BMC-derived assemblies for biointerfaces, catalysis, and sustainable protein materials engineering.

Cholesterol is a key component of cellular membranes, regulating membrane organization, fluidity, and signaling. However, cholesterol analysis remains technically challenging, as no single method currently allows both accurate quantification and spatially resolved visualization. Biochemical assays provide accurate quantification but lack spatial resolution, whereas imaging strategies can perturb membrane organization or cholesterol accessibility. Here, we describe optimized protocols using fluorescent D4 probes derived from the cholesterol-binding domain of perfringolysin O (D4-mCherry and D4-GFP) to detect, visualize, and quantify cholesterol in biological samples. We detail procedures for probe production, purification, and application, and establish conditions that ensure robust and reproducible labeling of membrane-accessible cholesterol. By combining fluorescence-based imaging with quantitative analysis, this approach enables the assessment of cholesterol distribution while preserving its native membrane environment. The proposed methodology provides a versatile and reliable framework for studying cholesterol in a wide range of experimental systems.

Inositols are a family of cyclic sugar alcohols comprising nine stereoisomers. Myo-inositol is the most abundant isomer found in humans and has been studied most extensively. It plays an important role in osmoregulation and is incorporated into membrane-anchored phosphatidylinositols. Scyllo-inositol is the second most abundant inositol isomer in the human brain and aberrant concentrations are associated with various diseases; however, its biological functions remain poorly understood. Here, the development and application of [13C6]scyllo-inositol as an isotopic tracer to study its metabolism is reported. A concise and robust synthetic route was established to obtain [13C6]scyllo-inositol from [13C6]myo-inositol in good yield. The uptake of [13C6]scyllo-inositol and responses of endogenous inositol isomers were measured in multiple cell lines by HILIC-MS/MS, showcasing the advantages of isotopic tracing. [13C6]scyllo-inositol proved to be a versatile isotopic tracer, when coupled with MS-based lipidomics and 2D NMR experiments. These experiments provide evidence that scyllo-inositol is incorporated into phosphatidylinositols in different cell lines. The results suggest a previously underappreciated role of scyllo-inositol in mammalian cells. The utilization of [13C6]scyllo-inositol will help to elucidate the role of scyllo-inositol metabolism in healthy and diseased states. SignificanceScyllo-inositol is a cyclic sugar alcohol found predominantly in the human brain. Changes in its concentration are associated with different diseases, and scyllo-inositol has been investigated as a potential drug against Alzheimers disease in clinical trials. However, its metabolic fate in mammalian cells is not well understood. We report here a synthetic strategy to obtain [13C6]scyllo-inositol and demonstrate, through isotopic tracing, its incorporation into phosphatidylinositols in different human-derived cell lines. This new stable isotopic tracer enables the investigation of the biological role of scyllo-inositol in mammals and beyond. HighlightsO_LIConcise synthesis of [13C6]scyllo-inositol C_LIO_LI[13C6]scyllo-inositol uptake and response of endogenous inositol isomers studied in multiple cell lines C_LIO_LIUse of [13C6]scyllo-inositol as an isotopic tracer in metabolomics and lipidomics experiments C_LIO_LIEvidence for scyllo-inositol incorporation into phosphatidylinositol in mammalian cells C_LI

Age-accompanied chronic, low-grade systemic inflammation (inflammaging) drives the onset and progression of neurodegenerative disorders like Parkinsons disease (PD). Currently, no disease-modifying therapies are available for PD. Exposure to environmental toxicants, including paraquat (PQ), rotenone, and neurotoxic metals, increases disease risk. Conversely, sustained consumption of dietary soft electrophiles, such as flavonoids, carotenoids, vitamin E vitamers, and essential fatty acids, has been associated with increased lifespan and delayed age-related neurological decline. Omega-3 and select omega-6 fatty acids also serve as precursors of lipid-derived specialized pro-resolving mediators (SPMs), which exert potent anti-inflammatory and inflammation-resolving activities. Here, we report the development of a robust analytical method to quantify pro-resolving oxylipins in a PQ-induced Drosophila melanogaster model of PD, enabling investigation of how dietary phytochemicals modulate anti-inflammatory and pro-resolving lipid metabolism in vivo. We hypothesized that plant-derived soft electrophiles promote active resolution of neuroinflammation by enhancing the production of pro-resolving oxylipins derived from essential fatty acids, and that their neuroprotective effects are linked to their soft electrophilic properties. Our results demonstrate that specific lipophilic plant-derived soft electrophiles significantly upregulate pro-resolving oxylipins in Drosophila heads following PQ exposure. We identify a subset of flavones and structurally related phytochemicals that selectively enhance SPM biosynthesis and show that this response involves the NF-{kappa}B orthologue relish. Additionally, feeding modality and sex-specific dimorphisms were found to influence oxylipin production. Collectively, these findings indicate that structurally related dietary soft electrophiles enhance endogenous pro-resolving lipid pathways, promote resolution of toxin-induced neuroinflammation, and have potential preventive and therapeutic relevance for neuroinflammation-associated neurodegenerative diseases. HighlightsO_LIQuantification of pro-resolving lipids in a Drosophila Parkinsons model. C_LIO_LISpecific structural features of phytochemicals contribute to in vivo bioactivity. C_LIO_LILipophilic soft electrophiles show therapeutic potential against neuroinflammation. C_LIO_LIFeeding modality and sexual dimorphism also regulate oxylipin production. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/714080v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@2088cforg.highwire.dtl.DTLVardef@1f5d026org.highwire.dtl.DTLVardef@134aa44org.highwire.dtl.DTLVardef@965e28_HPS_FORMAT_FIGEXP M_FIG C_FIG

Intrinsically disordered proteins (IDPs) represent major yet challenging therapeutic targets in neurodegenerative disease due to their conformational heterogeneity and aggregation-prone behavior. Tau protein is a prototypical IDP that forms pathological aggregates in Alzheimers disease and related tauopathies. Despite extensive clinical efforts, tau-directed monoclonal antibodies have demonstrated limited efficacy. Concurrently, single-domain antibodies (nanobodies) have been gaining importance because of their small size and membrane penetrating capabilities. New design paradigms are therefore required for nanobodies to enable precise targeting of disease-relevant conformations. Here, we describe a biophysical modelling and AI-guided nanobody discovery targeting the VQIVYK motif of tau, which constitutes the structural core of neurofibrillary tangles in Alzheimers Disease. Biophysical modelling-based target analysis identified low-energy conformational states of VQIVYK. These conformational insights were used to guide AI-driven nanobody design of CDR3 loops. Starting from a nanobody scaffold, we generated 145 candidate nanobodies through systematic backbone sampling and neural network-guided sequence design, followed by multi-dimensional computational prioritization. Two candidates demonstrated robust binding to synthetic full tau protein in ELISA binding assays, achieving binding indices of 148.9% and 140%, relative to reference controls. Notably, one candidate also exhibited strong reactivity in post-mortem Alzheimers disease human brain tissue, with a binding index of 236.1%, exceeding that of the positive control (222.9%). Structural analysis indicates that our nanobodies engineered CDR3 engages VQIVYK through optimized aromatic and hydrophobic interactions. Together, these findings establish a proof-of-concept for biophysics-guided, AI-guided nanobody engineering against IDPs and identifies them as a promising lead for tau-targeted single domain antibody development.

High-valent metal-nitrido species are powerful nitrogen-atom transfer intermediates but remain difficult to access and control due to intrinsic instability and bimolecular N-N coupling pathways. Herein, we report the first formation of a high-valent Mn(V)-nitrido complex within a de novo designed protein scaffold and demonstrate that a reactive precursor to this species can be catalytically intercepted for enantioselective aziridination. A Mn(V){equiv}N unit derived from an abiological diphenyl porphyrin is confined within a designed helical bundle protein, where the protein environment suppresses bimolecular decay and enables detailed spectroscopic characterization. Electron paramagnetic resonance, resonance Raman, and circular dichroism spectroscopies confirm formation of a low-spin Mn(V)-nitrido species that is stable for weeks at room temperature and exhibits minimal perturbation of the Mn{equiv}N unit upon modulation of the axial histidine ligand, while catalytic activity and stereochemical outcome are sensitive to its presence. Mechanistic studies identify monochloramine (NH2Cl) as the operative nitrogen-atom donor and support the involvement of a transient Mn-bound N-transfer intermediate en route to nitrido formation. Under catalytic conditions, this intermediate is inter-cepted to perform aziridination with TON {approx} 180 and an enantiomeric ratio of 65:35. Together, these results establish de novo protein design as a platform for stabilizing high-valent metal-nitrido species and harnessing their reactivity for nitrogen-atom transfer chemistry beyond the limits of natural metalloenzymes and small-molecule catalysts.

The rational design of biomolecule immobilization strategies requires molecular-level understanding of how surface properties, tethering geometry, and structural dynamics jointly influence stability and function. Recently, coarse-grained molecular dynamics simulations based on the Martini force field have emerged as an efficient framework for studying enzyme-surface interactions. However, the reproducible construction of immobilized systems with controlled orientations remains technically challenging, usually involving multiple computational tools. Here we present MartiniSurf, an open-source command-line framework for the preparation of protein and DNA systems immobilized on solid supports within the Martini paradigm. MartiniSurf integrates automated structure retrieval and cleaning, coarse graining via tools from the Martini force field software ecosystem, customizable surface generation, and biomolecule orientation based on user-defined anchoring residues, producing complete GROMACS-ready simulation systems. The framework supports both implicit restraint-based anchoring and explicit linker-mediated immobilization, including surfaces functionalized with user-defined ligands or linker-like moieties, enabling representation of mono- and multivalent attachment geometries at different modeling resolutions. Structure-based G[o]Martini potentials can be incorporated for proteins, while DNA systems are modeled using Martini 2. Optional substrate insertion, pre-coarse-grained complex handling, and automated solvation and ionization further extend system flexibility. By integrating these components into a unified workflow, MartiniSurf enables systematic and high-throughput in silico exploration of surface-tethered biomolecules and provides a robust computational platform for rational immobilization studies. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/714767v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@bc1ac4org.highwire.dtl.DTLVardef@1813b43org.highwire.dtl.DTLVardef@159b19borg.highwire.dtl.DTLVardef@19b60d6_HPS_FORMAT_FIGEXP M_FIG C_FIG

Single molecule methods have become prevalent tools in elucidating molecular processes across various life science fields over the past three decades, driving breakthroughs in understanding their underlying molecular mechanisms. In our study, we employed two single-molecule methods, Forster Resonance Energy Transfer (smFRET) and high-resolution optical tweezers, to investigate the transcription of Mycobacterium tuberculosis RNA polymerase (MtbRNAP) from initiation through to termination. We aim to provide a set of comprehensive biophysical tools to deepen our current understanding of MtbRNAP and its transcription factors. These experimental assays represent an important step towards unraveling the molecular dynamics and interactions that support transcription in Mycobacterium tuberculosis.