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Martin, M. F.

Publications and source records attributed to Martin, M. F..

3 recordsLinked to original sources

Structural Determinants of Synaptic Vesicle Protein 2C Ligand Selectivity and Their Impact on Dopamine Release

The synaptic vesicle protein 2 (SV2) family is a highly conserved group of transmembrane glycoproteins sharing approximately 70% sequence identity. SV2A and SV2B are broadly distributed throughout the brain, while SV2C, the evolutionarily oldest member of the family, is primarily found in dopaminergic brain regions in the basal ganglia. Genome-wide association studies have linked SV2C to Parkinson's disease, and SV2C appears to enhance dopamine storage in synaptic vesicles, but the basis for this effect is unknown. SV2s are the target of the racetam class of antiseizure medications, and SV2A-specific ligands are widely used to treat seizures. Recently several SV2C-specific ligands have been developed, but the structural basis for ligand specificity is unclear. A better understanding of SV2C structure, function, and pharmacology could lead to better targeted therapies for epilepsy, Parkinson's disease, and other dopamine-related conditions. Here we present cryo-EM structures of apo SV2C, SV2C bound to the high affinity non-selective SV2 ligand padsevonil, SV2C bound to the SV2C-selective ligand UCB-F, and SV2A bound to the SV2A-selective ligand plosaracetam (also known as ABBV-552/SDI-118). We find that SV2C has a wider luminal opening than SV2A and SV2B, which allows for UCB-F to bind to the primary site and form favorable interactions that are not possible in the narrower primary binding site of SV2A and SV2B. We also demonstrate that UCB-F and padsevonil, but not plosaracetam, reduce dopamine release in striatal sections of mouse brain. Our biochemical experiments and structures provide insights into SV2 ligand specificity and offer a template for the rational development of therapeutics targeting SV2C.

biochemistry↗

Discovery of Selective Small-Molecule Ligands of SV2C by AI-Enhanced Virtual Screening and Experimental Validation

Synaptic vesicle glycoprotein 2C (SV2C) is a vesicular protein enriched in dopaminergic neurons of the basal ganglia that modulates dopamine storage and release, and its disruption is implicated in Parkinson's disease (PD). Despite strong genetic and pathological links to PD, there are no selective small-molecule probes for SV2C. Here, we describe an AI-enhanced virtual screening (VS) and experimental campaign that identified multiple novel chemotypes with low-micromolar affinity and marked selectivity for SV2C over SV2A and SV2B, starting from a large, general-purpose commercial library. Because no full-length high-resolution SV2C structure was available, we built a homology model using SV2A cryo-EM structures as templates and characterized its conformational landscape by molecular dynamics (MD) and Gaussian accelerated MD (GaMD) simulations in apo form and in complex with known SV2 ligands (plosaracetam, levetiracetam, brivaracetam, and padsevonil). A convolutional neural network-based scoring function (CNN_VS), retrospectively validated on a manually curated 39-ligand SV2A benchmark (r = 0.72 vs experimental pIC50), was then applied in a multi-stage funnel to 5.96 million Mcule in-stock compounds, which were sequentially filtered to 3.19 million CNS-relevant molecules before docking and rescoring. From 94 VS-prioritized candidates, 71 compounds were experimentally profiled in an orthogonal primary assay cascade combining a thermal shift assay (TSA) with a [3H]-padsevonil scintillation proximity assay (SPA), followed by Ki determination and isoform selectivity profiling for key hits. This campaign yielded 22 active molecules (31% hit rate) that naturally segregated into two categories: compounds that showed primary site competition, and compounds that did not show primary site competition with [3H]-padsevonil. A subset of competitor compounds also showed thermostabilization activity. Among these, compounds 36 and 56 emerged as particularly attractive leads, with Ki values of 24.6 uM and 3.25 uM at SV2C, respectively, and greater than 10-fold selectivity versus SV2A; compound 56 also maintained approximately 12-fold selectivity relative to SV2B. A complementary subset of SV2C-selective hits behaved as padsevonil-site competitors, providing a lead set that will serve as a template for functional characterization and future drug development for conditions that affect dopaminergic signaling. Docking analysis suggests a common binding mode anchored by conserved tryptophan residues in the SV2 pocket, a prediction independently confirmed by an unpublished SV2A-plosaracetam cryo-EM structure showing 0.76 Angstrom binding-site C-alpha RMSD relative to the SV2C model and complete conservation of the tryptophan cage. Subtle differences in the luminal domain and transmembrane region point to the structural determinants underlying isoform selectivity. Collectively, these results demonstrate that an AI-driven VS pipeline, tightly integrated with medium-throughput biophysical assays, can deliver selective SV2C binders from a general chemical library on a structurally under-characterized membrane target. The identified hits provide multiple starting points for hit-to-lead optimization and tools for probing SV2C biology and its role in PD.

neuroscience↗

Mechanisms Underlying Allosteric Modulation of Antiseizure Medication Binding to Synaptic Vesicle Protein 2A (SV2A)

Brivaracetam (BRV) and levetiracetam (LEV) are antiseizure medications (ASMs) that target synaptic vesicle protein 2A (SV2A), while UCB1244283 acts as a positive allosteric modulator of these medications. The SV2A-BRV-UCB1244283 complex reveals how UCB1244283 allosterically enhances BRV binding by occupying an allosteric site near the primary binding site, preventing BRV dissociation. This allosteric site, formed by hydrophobic and uncharged residues, is a novel small-molecule binding site in SV2A. Structural analysis and mutagenesis suggest that an allosteric network between the primary and allosteric sites governs high-affinity ASM binding. UCB1244283 selectively binds SV2A over SV2B and SV2C, with specific mutations disrupting binding. The structure explains why UCB1244283 binding to SV2A selectively allows interaction with specific ASMs but not others due to steric hinderance. Structural comparison reveals that distinct conformational differences between the SV2A-BRV-UCB1244283 and other SV2A-ligand complexes, particularly in the transmembrane domain, influence binding at both sites. Future research will explore potential therapeutics targeting the allosteric site and their impact on SV2A regulation. TeaserUCB1244283 enhances LEV and BRV binding to SV2A, revealing an allosteric site that could aid in developing targeted therapeutics.

biochemistry↗