| cff-version: 1.2.0 | |
| message: "If you use this software, please cite it using these metadata." | |
| title: "Healdette: Ancestry-Aware Antibody Design Pipeline" | |
| version: "1.0.0" | |
| date-released: "2025-09-12" | |
| doi: "10.57967/hf/5917" | |
| authors: | |
| - family-names: "Light" | |
| given-names: "Jonathan Harrison" | |
| orcid: "https://orcid.org/0009-0003-7005-8187" | |
| repository-code: "https://github.com/Raiff1982/healdette" | |
| abstract: > | |
| Healdette is an ethics-aware, ancestry-informed system for designing | |
| antibodies and nanobodies. It combines real biophysical models, | |
| transformer-based protein sequence generation, structural simulation, | |
| and cultural personalization. | |
| keywords: | |
| - antibody design | |
| - machine learning | |
| - personalized medicine | |
| - bioinformatics | |
| license: MIT |