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Powell, A. J.

Publications and source records attributed to Powell, A. J..

4 recordsLinked to original sources

μ-Opioid Receptor Superagonists Engage a Sodium-Bound Active State

The simple two-state conformational selection model of G-protein coupled receptor (GPCR) activation suggests that, by binding to a high affinity site, an agonist will shift receptor equilibrium in favor of active state (R*) conformations that recruit heterotrimeric G proteins over inactive state (R) conformations. Agonist binding to the -opioid receptor is highly sensitive to Na+ ions which stabilize an inactive receptor state. Higher efficacy opioid agonists, such as DAMGO and fentanyl, are sensitive to Na+ compared to lower efficacy ligands at the -opioid receptor. However, the binding of the highly potent oripavine agonists etorphine and dihydroetorphine are less sensitive to Na+ than expected such that the prevailing models fail to explain their pharmacology. To explain this discrepancy, experiments were performed to evaluate the binding properties and G protein activation of the highly potent agonists carfentanil, BU72, etorphine, etonitazene and similarly potent opioid peptidomimetics in comparison to the standard agonists DAMGO, fentanyl, and morphine in the presence or absence of Na+ or K+ ions. Several of the superagonists retained high affinity and potency in both ionic conditions, whereas DAMGO, fentanyl and morphine displayed enhanced binding and signaling in K+, compared to Na+ ions. These functional parameters were used to determine an intrinsic efficacy value, determined as [Formula]. Comparison of affinity shifts with intrinsic efficacy afforded a negative correlation in which superagonists with the highest intrinsic efficacy are least sensitive to Na+. These data suggest that select -opioid receptor superagonists have high affinity for the Na+ bound receptor states (R) and shift these species into active receptor conformations (R*) that efficiently couple to G proteins. Significance StatementThe simple theory of conformational selection suggests the binding affinities of high efficacy -opioid receptor ligands, such as fentanyl and DAMGO, are more sensitive to Na+ and guanine nucleotide which stabilize inactive receptor states than lower efficacy agonists and antagonists. Here, we show that ligands with high intrinsic efficacy (superagonists) are much less sensitive to Na+ and guanine nucleotide. This work demonstrates that highly potent ligands can engage a low affinity Na+-bound receptor state that may then convert to a receptor species that efficiently couples to G protein - i.e. a conformational induction.

pharmacology and toxicology↗

Robust proteome profiling of cysteine-reactive fragments using label-free chemoproteomics

Identifying pharmacological probes for human proteins represents a key opportunity to accelerate the discovery of new therapeutics. High-content screening approaches to expand the ligandable proteome offer the potential to expedite the discovery of novel chemical probes to study protein function. Screening libraries of reactive fragments by chemoproteomics offers a compelling approach to ligand discovery, however, optimising sample throughput, proteomic depth, and data reproducibility remains a key challenge. We report a versatile, label-free quantification proteomics platform for competitive profiling of cysteine-reactive fragments against the native proteome. This high-throughput platform combines SP4 plate-based sample preparation with rapid chromatographic gradients. Data-independent acquisition performed on a Bruker timsTOF Pro 2 consistently identified [~]23,000 cysteine sites per run, with a total of [~]32,000 cysteine sites profiled in HEK293T and Jurkat lysate. Crucially, this depth in cysteinome coverage is met with high data completeness, enabling robust identification of liganded proteins. In this study, 80 reactive fragments were screened in two cell lines identifying >400 ligand-protein interactions. Hits were validated through concentration-response experiments and the platform was utilised for hit expansion and live cell experiments. This label-free platform represents a significant step forward in high-throughput proteomics to evaluate ligandability of cysteines across the human proteome.

systems biology↗

mRNA display in cell lysates enables identification of cyclic peptides targeting the BRD3 extraterminal domain

mRNA display is a powerful technology to screen libraries of >1012 cyclic peptides against a protein target, enabling the rapid discovery of high affinity ligands. These cyclic peptides are particularly well suited to challenging protein targets that have been difficult to drug with small molecules. However, target choice can still be limited as screens are typically performed against purified proteins which often demands the use of isolated domains and precludes the use of aggregation-prone targets. Here, we report a method to perform mRNA display selections in mammalian cell lysates without the need for prior target purification, vastly expanding the potential target scope of mRNA display. We have applied the methodology to identify low to sub-nanomolar peptide binders for two targets; a NanoLuc subunit (LgBiT) and full-length bromodomain-containing protein 3 (BRD3). Our cyclic peptides for BRD3 were found to bind to the extraterminal (ET) domain of BRD3 and the closely related BRD proteins, BRD2 and BRD4. While many chemical probes exist for the bromodomains of BRD proteins, the ET domain is relatively underexplored, making these peptides valuable additions to the BRD toolbox.

biochemistry↗

Fragment binding to the Nsp3 macrodomain of SARS-CoV-2 identified through crystallographic screening and computational docking

The SARS-CoV-2 macrodomain (Mac1) within the non-structural protein 3 (Nsp3) counteracts host-mediated antiviral ADP-ribosylation signalling. This enzyme is a promising antiviral target because catalytic mutations render viruses non-pathogenic. Here, we report a massive crystallographic screening and computational docking effort, identifying new chemical matter primarily targeting the active site of the macrodomain. Crystallographic screening of diverse fragment libraries resulted in 214 unique macrodomain-binding fragments, out of 2,683 screened. An additional 60 molecules were selected from docking over 20 million fragments, of which 20 were crystallographically confirmed. X-ray data collection to ultra-high resolution and at physiological temperature enabled assessment of the conformational heterogeneity around the active site. Several crystallographic and docking fragment hits were validated for solution binding using three biophysical techniques (DSF, HTRF, ITC). Overall, the 234 fragment structures presented explore a wide range of chemotypes and provide starting points for development of potent SARS-CoV-2 macrodomain inhibitors.

biochemistry↗