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Locatelli, P.

Publications and source records attributed to Locatelli, P..

2 recordsLinked to original sources

Dissociation kinetics and avidity gate SARS-CoV-2 neutralization by HR2 stem helix antibodies

SARS-CoV-2 evolution has reduced the efficacy of clinical monoclonal antibodies, underscoring the need for therapeutics targeting conserved viral regions. The Spike (S) heptad repeat 2 (HR2) stem helix is highly conserved across SARS-CoV-2 variants and related betacoronaviruses. Although antibodies to this region can neutralize infection, their natural occurrence and evolution remain poorly understood. We previously identified human neutralizing antibodies to a conserved peptide within this region (HR2 coldspot). Here, we show that plasma IgG reactivity to this region remains rare, even after repeated antigen exposure. Longitudinal analysis over 30 months revealed continued somatic hypermutation of HR2-specific antibodies, yet none surpassed the potency or breadth of hr2.016, which emerged shortly after primary infection. Crystal structures of four HR2 stem helix antibodies revealed convergent recognition across distinct antibody lineages. Comparison of hr2.016 with its non-neutralizing clonal relative hr2.086 showed that structural convergence masks distinct binding kinetics. Surface plasmon resonance and molecular dynamics simulations revealed a more stable interaction network for hr2.016, with slower dissociation and prolonged S residence time. Neutralization required the IgG format, supporting an avidity-driven mechanism. Together, these findings define kinetic and avidity constraints governing neutralization at the HR2 stem helix and position hr2.016 as a resilient therapeutic candidate.

immunology↗

AI assisted design of ligands for Lipocalin-2

Lipocalin-2 (LCN2) is an acute-phase glycoprotein whose upregulation is linked to blood- brain-barrier breakdown and neuroinflammation, making it an attractive diagnostic and therapeutic target. We developed an end-to-end, AI-guided workflow to rapidly design de-novo miniproteins that bind LCN2. Backbone scaffolds were generated with RFdiffusion, sequences were optimized with ProteinMPNN, and candidates filtered in silico using a consensus of AlphaFold2 confidence metrics (mean interface pAE < 10) and binding free energy predicted by Prodigy. From an initial library of 10,000 designs, five were expressed and purified from E. coli. Using biolayer interferometry (BLI) we identified MiniP-2 as the lead construct, exhibiting a dissociation constant (Kd) of 4.2 nM. Structural modeling revealed that binding is primarily mediated by backbone hydrogen bonds along with a stabilizing salt bridge between Arg37 of MinP-2 and Asp97 of LCN2. These findings demonstrate that a fully computational generative workflow can yield nanomolar LCN2 binders in a single design-build-test cycle. MinP-2 represents a promising starting point for affinity maturation, structural studies, and in vivo evaluation as an imaging probe or antagonist of LCN2-mediated signaling. Specifically, SPR competition experiments showed that MinP-2 can inhibit LCN2 binding to MMP-9, suggesting its potential to mitigate the pathological effects of this interaction within the central nervous system.

biochemistry↗