Fish isoallergens and variants: database compilation, in silico allergenicity prediction challenges, and epitope-based threshold optimization
This study enhances understanding of fish allergy by systematically compiling fish isoallergens and variants and integrating B-cell epitope data. The optimized thresholds improve the performance of allergenicity prediction tools and can be applied to other protein families in future studies.
Authors
- Dean R. Jerry
- Vachiranee Limviphuvadh (ORCID: https://orcid.org/0000-0001-5344-0585)
- Sebastian Maurer‐Stroh (ORCID: https://orcid.org/0000-0003-0813-9640)
- Anand Kumar Andiappan (ORCID: https://orcid.org/0000-0002-8442-1544)
- Thimo Ruethers (ORCID: https://orcid.org/0000-0002-0856-3452)
- Andreas L. Lopata (ORCID: https://orcid.org/0000-0002-2940-9235)
- Benjamin Smith (ORCID: https://orcid.org/0000-0003-0651-9420)
- Yulan Wang (ORCID: https://orcid.org/0000-0002-2831-8737)
- Minh N. Nguyen (ORCID: https://orcid.org/0000-0003-4949-2571)
- Yansong Miao
Institutions
- Agency for Science, Technology and Research (SG)
- National University of Singapore (SG)
- Nanyang Technological University (SG)
- Singapore Immunology Network (SG)
- Monell Chemical Senses Center (US)
- James Cook University Singapore (SG)
- James Cook University (AU)
Publication Details
- Journal
- Frontiers in Bioinformatics
- Published
- 2025-10-20
- DOI
- https://doi.org/10.3389/fbinf.2025.1669237
- Primary Topic
- Food Allergy and Anaphylaxis Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00