AI-assisted design of ligands for lipocalin-2
These results demonstrate that a fully computational generative workflow can yield nanomolar LCN2 binders in a single design-build-test cycle. MiniP-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.
Authors
- Alberto Furlan (ORCID: https://orcid.org/0009-0008-6431-4064)
- Ying‐Yi Chen (ORCID: https://orcid.org/0000-0003-3753-4877)
- Jacopo Sgrignani (ORCID: https://orcid.org/0000-0002-8633-1032)
- Concetta Guerra (ORCID: https://orcid.org/0000-0001-5597-6885)
- Patrizia Locatelli
- Andrea Cavalli (ORCID: https://orcid.org/0000-0003-4063-4502)
- Sara Buscarini
- Giada Zoppi
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- Università della Svizzera italiana (CH)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3389/fimmu.2025.1631868
- Citations
- 1
- Primary Topic
- Electrolyte and hormonal disorders
- Type
- article
- Field-Weighted Citation Impact
- 1.52