The engineered formation of ternary complexes, in which two proteins are bridged by small molecules such as PROTACs or molecular glues, is a prerequisite for the targeted enzymatic degradation of pathogenic proteins; however, the combined analysis of these ternary interactions during the drug discovery process remains challenging. Here, we introduce a proximity binding assay for the simultaneous measurement of binary and ternary interaction kinetics on a biosensor surface. Target proteins and the substrate binding subunit of ubiquitin E3 ligase are tethered to mobile swivel arms of a Y-shaped DNA scaffold. The Y-structure induces spatial proximity between the proteins and presents them to PROTAC analytes flown across the sensor. PROTAC-induced ternary complex formation is measured by fluorescence energy transfer (FRET), while binary interactions are detected by fluorescence quenching. The assay is applied to cereblon (CRBN) and von Hippel-Lindau (VHL) as E3 ligase substrate receptors, a range of compounds including AT1, MZ1, dBETs, and ARV-825 as PROTACs, and the two bromodomains of BRD2, BRD3, BRD4, and BRDT proteins as targets. Automated workflows enable the measurement of 384 real-time sensorgrams in a single run using picomole sample quantities. The insights into proximity-mediated binding kinetics can enable the development of PROTACs and molecular glues with improved properties for targeted protein degradation.

Small molecules that target precursor microRNAs (pre-miRNAs) offer a strategy to modulate microRNA biogenesis, but rational design is limited by the intrinsic conformational dynamics of RNA. Here, we combine site-specific nuclear magnetic resonance (NMR) spectroscopy with enhanced-sampling molecular dynamics (MD) simulations to define the conformational ensemble of pre-miR-377 and its recognition by the small-molecule binder C1. Our data reveals that the Dicer cleavage site contains a dynamic adenosine bulge in which U25 shuffles between A3 and A4 with a ∼9:1 population ratio, generating two interconverting RNA triple structures. NMR-informed MD and binding simulations show that C1 engages this dynamic region through a pathway-dependent mechanism that favors minor-groove entry, stabilizes intermediate, partially reorganized Dicer-site conformations, and redistributes the conformational ensemble away from processing-competent states. A conformationally locked mutant abolishes binding, indicating that recognition depends on bulge-enabled RNA dynamics rather than a single static structure. These results define the structural and dynamic basis of small-molecule recognition at the pre-miR-377 Dicer site and highlight the importance of RNA conformational ensembles in RNA-targeted drug discovery.

Developing novel drugs against membrane proteins is a major challenge in drug discovery due to the difficulty of stabilizing these targets for high-throughput screenings. Pannexin 1 (PANX1) is a membrane channel protein involved in various physiological and pathological processes, making it a promising target for drug discovery. However, efforts to develop PANX1-targeting therapeutics have been hindered by the inherent challenges of stabilizing the protein channel and conducting effective pharmacological screening. Here, we report a proof-of-concept workflow that integrates the Salipro lipid nanoparticle platform with DNA-Encoded Library screenings in a detergent-free format. In this case study, the Salipro DirectMX method was used to generate functional PANX1 nanoparticles for drug discovery and characterisation. Using a high-stringency selection strategy and computational approaches, we identified a specific set of candidate compounds with selective PANX1 enrichment. Surface Plasmon Resonance analysis confirmed the identification of hit compounds. Cryo-Electron Microscopy of the Salipro-PANX1-Compound complex provided structural insights into a potential compound binding site. Electrophysiological recordings in PANX1-expressing Xenopus laevis oocytes demonstrated dose-dependent inhibition of PANX1-mediated ion conductance by the compounds. These findings establish a robust workflow for ligand discovery against challenging membrane protein targets and provide novel chemical starting points for the development of PANX1 modulators.

BACKGROUND:Inhibition of proprotein convertase subtilisin/kexin type 9 (PCSK9) is an effective therapy for reducing low-density lipoprotein (LDL) cholesterol (LDL-C) in adults with hyperlipidemia, including heterozygous familial hypercholesterolemia, thereby lowering cardiovascular risk. Current PCSK9 inhibitors are injectable therapies; no oral small-molecule PCSK9 inhibitor has yet been approved. METHODS:Laroprovstat (AZD0780) is a novel small-molecule identified through structure-based design that binds to the PCSK9 C-terminal domain. The effects of laroprovstat on LDL receptor expression and LDL-C levels were assessed in vitro and in mice expressing human PCSK9. Safety, tolerability, and pharmacokinetic and pharmacodynamic properties of laroprovstat were assessed in healthy participants with LDL-C ≥70 and ≤190 mg/dL after single ascending doses. Laroprovstat was also assessed in participants with LDL-C ≥100 and ≤190 mg/dL at doses of 1 mg or 30 mg versus placebo administered once daily for 28 days after a rosuvastatin 20 mg run-in treatment period. RESULTS:Laroprovstat does not inhibit the PCSK9-LDL receptor interaction but stabilizes the PCSK9 C-terminal domain, preventing lysosomal trafficking and degradation of LDL receptor. Laroprovstat increased LDL receptor expression and reduced LDL-C levels in mice expressing human PCSK9. Laroprovstat displayed dose-proportional pharmacokinetics and a half-life suitable for once-daily dosing (≈40 hours). There was no clinically meaningful change in exposure when dosed with a high-fat meal compared with the fasted state (area under the plasma concentration-time curveinf and Cmax geometric mean reduction of 1.15 [90% CI, 1.11-1.19] and 1.06 [90% CI, 1.00-1.13], respectively). After a rosuvastatin 20 mg 3-week run-in treatment period, laroprovstat 1 and 30 mg reduced LDL-C by 29% (95% CI, 18%-38%) and 51% (95% CI, 44%-58%) compared with baseline. Combined rosuvastatin and laroprovstat treatment resulted in a total approximate reduction in LDL-C of 70% and 80% for laroprovstat 1 and 30 mg, respectively. CONCLUSIONS:Laroprovstat was well tolerated with no safety findings of concern and may be dosed with or without food. In treatment-naïve participants with hypercholesterolemia, combined rosuvastatin 20 mg and laroprovstat 30 mg treatment led to an 80% LDL-C reduction, supporting further development of laroprovstat as the first oral small-molecule PCSK9 inhibitor in patients with hypercholesterolemia. REGISTRATION:URL: https://www.clinicaltrials.gov; Unique identifier: NCT05384262.

Ternary complexes, consisting of two proteins connected by small molecules like PROTACs or molecular glues pose new challenges for the analysis of molecular interactions, because they depend not only on binary affinities, but are orchestrated by cooperativity and avidity effects. Here, we introduce a proximity binding assay for the simultaneous measurement of binary and ternary interaction kinetics on a biosensor surface. Target proteins and ubiquitin E3 ligase substrate receptors are tethered to mobile swivel arms of a Y-shaped DNA scaffold, which presents them in close proximity to PROTAC analytes flown across the sensor. PROTAC-induced ternary complex formation is measured by fluorescence energy transfer (FRET), while binary interactions are detected by fluorescence quenching. The assay is applied to cereblon (CRBN) and von Hippel-Lindau (VHL) as E3 ligase substrate receptors, a range of compounds including AT1, MZ1, dBETs, and ARV-825 as PROTACs, and the two bromodomains of Brd2, Brd3, Brd4, and BrdT proteins as targets. Automated workflows enable the measurement of 384 real-time sensorgrams in a single run using picomo-lar sample quantities. Ternary and binary binding kinetics and proximity-mediated binding enhancements are analyzed. Ternary complex stability is shown to arise from a dynamic interplay of associations and dissociations, suggesting that proximity assays can be utilized to identify weak interactions. The insights into proximity-mediated binding kinetics can enable the development of PROTACs and molecular glues with improved properties for targeted protein degradation.

Targeted protein degradation (TPD) using bivalent proteolysis-targeting chimeras (PROTAC) technology has shown potential in expanding the “druggable” proteome. In their publication in Nature Chemical Biology , Imaide et al.[1][1] posited that augmenting PROTAC valency could potentially lead to the formation of long-lived ternary complexes between PROTAC, the protein of interest (POI), and E3 ligase, thereby constraining the formation of potent binary complexes, as evidenced by a pronounced hook effect. The authors introduced SIM1, a trivalent von Hippel–Lindau (VHL)-based PROTAC, which exhibited a superior degradation profile in comparison to its parent molecule MZ1, towards bromo and extra terminal (BET) proteins, with a predilection for BRD2. The authors attributed this heightened degradation capability of SIM1 over bivalent MZ1 as supportive evidence for their hypothesis. While we concur with the notion that increasing valency and avidity could enhance the efficacy of a PROTAC, the claim that trivalent PROTACs unequivocally eliminate the hook effect is not entirely accurate. We propose that the presence or absence of a hook effect is influenced by numerous factors beyond PROTAC valency. ### Competing Interest Statement The authors have declared no competing interest. [1]: #ref-1

Computational free energy-based methods have the potential to significantly improve throughput and decrease costs of protein design efforts. Such methods must reach a high level of reliability, accuracy, and automation to be effectively deployed in practical industrial settings in a way that impacts protein design projects. Here, we present a benchmark study for the calculation of relative changes in protein-protein binding affinity for single point mutations across a variety of systems from the literature, using free energy perturbation (FEP+) calculations. We describe a method for robust treatment of alternate protonation states for titratable amino acids, which yields improved correlation with and reduced error compared to experimental binding free energies. Following careful analysis of the largest outlier cases in our dataset, we assess limitations of the default FEP+ protocols and introduce an automated script which identifies probable outlier cases that may require additional scrutiny and calculates an empirical correction for a subset of charge-related outliers. Through a series of three additional case study systems, we discuss how protein FEP+ can be applied to real-world protein design projects, and suggest areas of further study.

The recent and rapid increase in the discovery of new RNA therapeutics has created the perfect terrain to explore an increasing number of novel targets. In particular, antisense oligonucleotides (ASOs) have long held the promise of an accelerated and effective drug design compared to other RNA-based therapeutics. Although ASOs in silico design has advanced distinctively in the past years, especially thanks to the several predictive frameworks for RNA folding, it is somehow limited by the wide approximation of calculating sequence affinity based on RNA-RNA/DNA sequences. None of the ASO modifications are taken into consideration, losing hybridization information particularly fundamental to ASOs that elicit their function through RNase H1-mediated mechanisms. Here we present an inexpensive and enhanced biophysical screening strategy to investigate the affinity of ASOs for their target RNA using several biophysical techniques such as high throughput differential scanning fluorimetry (DSF), circular dichroism (CD), isothermal calorimetry (ITC), surface plasmon resonance (SPR) and small-angle X-ray scattering (SAXS).

Membrane proteins are the largest group of therapeutic targets in a variety of disease areas and yet, they remain particularly difficult to investigate. We have developed a novel one-step approach for the incorporation of membrane proteins directly from cells into lipid Salipro nanoparticles. Here, with the pannexin1 channel as a case study, we demonstrate the applicability of this method for structurefunction analysis using SPR and cryo-EM.

Upregulation of the transcription factor Nrf2 by inhibition of the interaction with its negative regulator Keap1 constitutes an opportunity for the treatment of disease caused by oxidative stress. We report a structurally unique series of nanomolar Keap1 inhibitors obtained from a natural product-derived macrocyclic lead. Initial exploration of the structure-activity relationship of the lead, followed by structure-guided optimization, resulted in a 100-fold improvement in inhibitory potency. The macrocyclic core of the nanomolar inhibitors positions three pharmacophore units for productive interactions with key residues of Keap1, including R415, R483, and Y572. Ligand optimization resulted in the displacement of a coordinated water molecule from the Keap1 binding site and a significantly altered thermodynamic profile. In addition, minor reorganizations of R415 and R483 were accompanied by major differences in affinity between ligands. This study therefore indicates the importance of accounting both for the hydration and flexibility of the Keap1 binding site when designing high-affinity ligands.

Avidity is an effective and frequent phenomenon employed by nature to achieve extremely high-affinity interactions. As more drug discovery efforts aim to disrupt protein-protein interactions, it is becoming increasingly common to encounter systems that utilize avidity effects and to study these systems using surface-based technologies, such as surface plasmon resonance (SPR) or biolayer interferometry. However, heterogeneity introduced from multivalent binding interactions complicates the analysis of the resulting sensorgram. A frequently applied practice is to fit the data based on a 1:1 binding model, and if the fit does not describe the data adequately, then the experimental setup is changed to favor a 1:1 binding interaction. This reductionistic approach is informative but not always biologically relevant. Therefore, we aimed to develop an SPR-based assay that would reduce the heterogeneity to enable the determination of the kinetic rate constants for multivalent binding interactions using the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein and the human receptor angiotensin-converting enzyme 2 (ACE2) as a model system. We employed a combinatorial approach to generate a sensor surface that could distinguish between monovalent and multivalent interactions. Using advanced data analysis algorithms to analyze the resulting sensorgrams, we found that controlling the surface heterogeneity enabled the deconvolution of the avidity-induced affinity enhancement for the SARS-CoV-2 spike protein and ACE2 interaction.

A key activity in small-molecule drug discovery is the characterization of compound-target interactions. Surface plasmon resonance (SPR) is a flexible technique for this purpose, with a wide affinity range (micromoles to picomoles), low protein requirements, and the ability to characterize the kinetics of compound binding. However, a key requirement of SPR is the immobilization of the target protein to the surface of the sensor chip. The most commonly used immobilization techniques (covalent immobilization, streptavidin-biotin) are irreversible in nature, which can afford excellent baseline stability but impose limitations throughput for slowly dissociating compounds or unstable targets. Reversible immobilization (e.g., His-tag-Ni-NTA) is possible but typically precludes accurate quantification of slow dissociation kinetics due to baseline drift.Here we present our investigation of three immobilization strategies (dual-His-tagged target protein, His-tagged streptavidin, and switchavidin) that combine the robustness of irreversible immobilization with the flexibility of reversible immobilization. Each has its own advantages and limitations, and while a universal immobilization procedure remains to be found, these strategies add to the immobilization toolbox that enables previously out-of-scope applications. Such applications are highlighted in two examples that greatly increased throughput for the kinetic characterization of potent kinase inhibitors and kinetic profiling of covalent inhibitors.

Lead generation for difficult-to-drug targets that have large, featureless, and highly lipophilic or highly polar and/or flexible binding sites is highly challenging. Here, we describe how cores of macrocyclic natural products can serve as a high-quality in silico screening library that provides leads for difficult-to-drug targets. Two iterative rounds of docking of a carefully selected set of natural-product-derived cores led to the discovery of an uncharged macrocyclic inhibitor of the Keap1-Nrf2 protein-protein interaction, a particularly challenging target due to its highly polar binding site. The inhibitor displays cellular efficacy and is well-positioned for further optimization based on the structure of its complex with Keap1 and synthetic access. We believe that our work will spur interest in using macrocyclic cores for in silico-based lead generation and also inspire the design of future macrocycle screening collections.

Protease-activated receptor-2 (PAR2) has been implicated in multiple pathophysiologies but drug discovery is challenging due to low small molecule tractability and a complex activation mechanism. Here we report the pharmacological profiling of a potent new agonist, suggested by molecular modelling to bind in the putative orthosteric site, and two novel PAR2 antagonists with distinctly different mechanisms of inhibition. We identify coupling between different PAR2 binding sites. One antagonist is a competitive inhibitor that binds to the orthosteric site, while a second antagonist is a negative allosteric modulator that binds at a remote site. The allosteric modulator shows probe dependence, more effectively inhibiting peptide than protease activation of PAR2 signalling. Importantly, both antagonists are active in vivo, inhibiting PAR2 agonist-induced acute paw inflammation in rats and preventing activation of mast cells and neutrophils. These results highlight two distinct mechanisms of inhibition that potentially could be targeted for future development of drugs that modulate PAR2.

Transcription factors are key protein effectors in the regulation of gene transcription, and in many cases their activity is regulated via a complex network of protein–protein interactions (PPI). The chemical modulation of transcription factor activity is a long-standing goal in drug discovery but hampered by the difficulties associated with the targeting of PPIs, in particular when extended and flat protein interfaces are involved. Peptidomimetics have been applied to inhibit PPIs, however with variable success, as for certain interfaces the mimicry of a single secondary structure element is insufficient to obtain high binding affinities. Here, we describe the design and characterization of a stabilized protein tertiary structure that acts as an inhibitor of the interaction between the transcription factor TEAD and its co-repressor VGL4, both playing a central role in the Hippo signalling pathway. Modification of the inhibitor with a cell-penetrating entity yielded a cell-permeable proteomimetic that activates cell proliferation via regulation of the Hippo pathway, highlighting the potential of protein tertiary structure mimetics as an emerging class of PPI modulators.

Crystallography provides structural information crucial for fragment optimization, however several criteria must be met to screen directly on protein crystals as soakable, well-diffracting specimen must be available. We screened a 96-fragment library against the tRNA-modifying enzyme TGT using crystallography. Eight hits, some with surprising binding poses, were detected. However, the amount of data collection, reduction and refinement is assumed substantial. Therefore, having a reliable cascade of fast and cost-efficient methods available for pre-screening before embarking to elaborate crystallographic screening appears beneficial. This allows filtering of compounds to the most promising hits, available to rapidly progress from hit-to-lead. But how to ensure that this workflow is reliable? To answer this question, we also applied SPR and NMR to the same screening sample to study whether identical hits are retrieved. Upon hit-list comparisons, crystallography shows with NMR and SPR, only one overlapping hit and all three methods shared no common hits. This questions a cascade-type screening protocol at least in the current example. Compared to crystallography, SPR and NMR detected higher percentages of non-active-site binders suggesting the importance of running reporter ligand-based competitive screens in SPR and NMR, a requirement not needed in crystallography. Although not specific, NMR proved a more sensitive method relative to SPR and crystallography, as it picked up the highest numbers of binders.

Biomarkers serve as indicators of disease progression or therapeutic response of an medical intervention, and means for enabling a reliable and sensitive biomarker detection are therefore vital in clinical settings. Most biosensor assays require high-affinity interactions in combination with an enzyme or fluorescent tag to enable detection and frequently employ extensive washing procedures prior to signal readout. Attempts to overcome this limitation by using natural biological partners tend to be demanding, because their very low affinity is frequently not compatible with the need of reaching low limits of detection (LODs), especially for circulating biomarkers that possess short half-lives. To address these challenges, we developed a label-free surface plasmon resonance (SPR) platform for the detection of neuregulin 1 (NRG1) using ErbB4-modified liposomes offering both signal amplification and affinity enhancement via functional multivalent interactions. Through the functional avidity interaction between NRG1 and ErbB4, an LOD of 3.5 picomolar was reached, which is about 60-fold higher than traditional SPR and miniaturized immunoassays. The biosensor displays also an 8-fold higher sensitivity when compared with a single-molecule immunoassay employing the natural binding partner rather than a high-affinity antibody as one of the interaction partners. In fact, the liposome-induced avidity between NRG1 and ErbB4 offered an LOD that was comparable to that obtained using a high-affinity antibody and enabled detection of NRG1 in plasma with a LOD of 36 pM. Employing the liposome-enhanced platform in conjunction with a low-affinity biomarker receptor thus enables the assessment of the functional state of the biomarker at competitive LODs and eliminates the need for high-affinity antibodies.

The affinity of drug molecules to their respective molecular targets can be described by the thermodynamic properties of the molecular interaction. These properties typically reflect the totality o...