Multimodal deep learning for allergenic proteins prediction
Abstract Background Accurate prediction of allergens is essential for identifying the sources of allergic reactions and preventing future exposure to harmful triggers; however, the limited performance of current prediction tools hinders their practical applications. Results Here, we present Multimod...
Saved in:
| Main Authors: | Lezheng Yu, Yuxin Luo, Shiqi Wu, Siyi Chen, Li Xue, Runyu Jing, Jiesi Luo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
|
| Series: | BMC Biology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12915-025-02347-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research Advances in Hen’s Egg Allergen and Techniques for Reducing Its Allergenicity
by: YANG Wenhua, YE Huiling, WANG Hui, TU Zongcai, FAN Yan, XIAO Gengsheng, WANG Qin
Published: (2025-05-01) -
Progress in Molecular Characterization and Epitope Identification of Major Buckwheat Allergens
by: Yufei QIN, et al.
Published: (2025-03-01) -
Allergenicity Reduction of Antarctic Krill (Euphausia superba) Tropomyosin through Glycosylation Modification
by: Shuqi ZHANG, et al.
Published: (2025-04-01) -
DNA vaccines and recombinant allergens with reduced allergenic activity treat allergies
by: Stanislava Yu. Petrova, et al.
Published: (2021-03-01) -
An Overview of Seafood Allergens: Structure–Allergenicity Relationship and Allergenicity Elimination Processing Techniques
by: Yang Yang, et al.
Published: (2025-06-01)