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ProTCR: a protein language model-driven framework for decoding TCR-antigen recognition toward precision immunotherapies.

1/5 보강
Briefings in bioinformatics 📖 저널 OA 88.5% 2024: 2/2 OA 2025: 7/8 OA 2026: 14/16 OA 2024~2026 2026 Vol.27(1) OA
Retraction 확인
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PICO 자동 추출 (휴리스틱, conf 2/4)

유사 논문
P · Population 대상 환자/모집단
By incorporating both global and local feature extraction mechanisms, ProTCR enables efficient representation of amino acid sequences, thereby enhancing the model's generalizability across diverse data distributions and improving its biolo…
I · Intervention 중재 / 시술
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C · Comparison 대조 / 비교
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O · Outcome 결과 / 결론
Across these complex settings, ProTCR consistently maintained high accuracy and stability, demonstrating strong cross-task adaptability and broad potential for clinical application. This work not only provides a powerful tool for elucidating immune response mechanisms but also offers a solid computational foundation for the design of neoantigen or TCR based precision immunotherapy strategies.

Xu M, Lu M, Liu P, Zhang S, Chen L, Liu Q


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