A computational pipeline to discover potential cross-reactive antibodies: a case study on coronavirus
Though in pilot-study, this pipeline might serve as a scalable and efficient strategy for rapidly prioritizing potential crAbs in research of infectious disease.
Authors
- Mingda Hu (ORCID: https://orcid.org/0009-0008-3754-2504)
- Kailin Tang (ORCID: https://orcid.org/0000-0002-0508-6056)
- Yewei Cun (ORCID: https://orcid.org/0000-0002-5366-958X)
- Yuxuan Wang (ORCID: https://orcid.org/0000-0002-1649-6974)
- Zihao Li (ORCID: https://orcid.org/0000-0001-9633-9823)
- Li Ye
- Zhiwei Cao
Institutions
- Tongji University (CN)
- Fudan University (CN)
Publication Details
- Journal
- Frontiers in Cellular and Infection Microbiology
- Published
- 2026-02-09
- DOI
- https://doi.org/10.3389/fcimb.2026.1692727
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China