Enhancing CAR-T cell activity prediction via fine-tuning protein language models with generated CAR sequences

Abstract Background Chimeric antigen receptor (CAR)-T cell therapy has shown remarkable success in treating hematological malignancies. However, several challenges remain, including limited efficacy against solid tumors, T cell exhaustion, and lack of T cell persistence, which have restricted its cl...

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Autori principali:	Kei Yoshida, Shoji Hisada, Ryoichi Takase, Atsushi Okuma, Yoshihito Ishida, Taketo Kawara, Takuya Miura-Yamashita, Daisuke Ito
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2026-02-01
Serie:	BMC Bioinformatics
Soggetti:	CAR-T cell Protein language models Fine-tuning Data augmentation Sequence-based prediction
Accesso online:	https://doi.org/10.1186/s12859-026-06401-7
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