Unlocking T-cell receptor–epitope insights with structural analysis
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 475-476 |
Journal / Publication | Nature Computational Science |
Volume | 4 |
Issue number | 7 |
Online published | 10 Jul 2024 |
Publication status | Published - Jul 2024 |
Link(s)
Abstract
A method leverages protein structural data to predict T-cell receptor–peptide interactions for unseen peptide epitopes, which can be particularly useful for applications in cancer immunotherapy, autoimmunity studies, and vaccine design. © Springer Nature America, Inc. 2024.
Research Area(s)
Citation Format(s)
Unlocking T-cell receptor–epitope insights with structural analysis. / Huo, Miaozhe; Jiang, Yuepeng; Li, Shuai Cheng.
In: Nature Computational Science, Vol. 4, No. 7, 07.2024, p. 475-476.
In: Nature Computational Science, Vol. 4, No. 7, 07.2024, p. 475-476.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review