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本文引用的文献

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De novo design and structure of a peptide-centric TCR mimic binding module.以肽为中心的TCR模拟物结合模块的从头设计与结构
Science. 2025 Jul 24;389(6758):375-379. doi: 10.1126/science.adv3813.
2
Design of high-specificity binders for peptide-MHC-I complexes.用于肽 - 主要组织相容性复合体 -I 复合物的高特异性结合剂的设计
Science. 2025 Jul 24;389(6758):386-391. doi: 10.1126/science.adv0185.
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Antibody Design with SE(3) Diffusion.基于SE(3)扩散的抗体设计
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Targeting peptide antigens using a multiallelic MHC I-binding system.使用多等位基因MHC I结合系统靶向肽抗原。
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Broadening alloselectivity of T cell receptors by structure guided engineering.通过结构导向工程拓宽 T 细胞受体的 allo 选择性。
Sci Rep. 2024 Nov 6;14(1):26851. doi: 10.1038/s41598-024-75140-7.
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MHC-Fine: Fine-tuned AlphaFold for precise MHC-peptide complex prediction.MHC-Fine:针对精确的 MHC-肽复合物预测进行优化调整的 AlphaFold。
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APE-Gen2.0: Expanding Rapid Class I Peptide-Major Histocompatibility Complex Modeling to Post-Translational Modifications and Noncanonical Peptide Geometries.APE-Gen2.0:将快速 I 类肽-主要组织相容性复合物建模扩展到翻译后修饰和非典型肽结构。
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Tearing up the traditional biotech playbook.摒弃传统生物技术模式。
Nat Biotechnol. 2024 Jan;42(1):1. doi: 10.1038/s41587-023-02119-6.
9
Accurate modeling of peptide-MHC structures with AlphaFold.使用 AlphaFold 对肽-MHC 结构进行精确建模。
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10
Structural and physical features that distinguish tumor-controlling from inactive cancer neoepitopes.区分肿瘤控制与非活性癌症新抗原的结构和物理特征。
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一种基于结构的方法来预测针对公共抗原的T细胞受体的MHC-I限制性。

A structure-guided approach to predict MHC-I restriction of T cell receptors for public antigens.

作者信息

Gupta Sagar, Sgourakis Nikolaos G

机构信息

Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Department of Biochemistry and Biophysics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA; Center for Computational and Genomic Medicine, Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

出版信息

Structure. 2025 Jul 15. doi: 10.1016/j.str.2025.06.011.

DOI:10.1016/j.str.2025.06.011
PMID:40683256
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12313147/
Abstract

Peptides presented by major histocompatibility complex class I (MHC-I) proteins provide biomarkers for therapeutic targeting using T cell receptors (TCRs), TCR-mimicking antibodies (TMAs), or other engineered protein binders. Despite the extreme sequence diversity of the human leukocyte antigen (HLA, the human MHC), a given TCR or TMA is restricted to recognize epitopic peptides in the context of a limited set of different HLA alleles. Here, guided by our analysis of 98 TCR:pHLA complex structures, we identify TCR contact residues and classify 148 common HLA alleles into T cell cross-reactivity groups (T-CREGs) on the basis of their presented surface features. Insights from our work have actionable value for predicting MHC-I restriction of TCRs, guiding therapeutic expansion of existing TCR-based approaches and informing the selection of peptide targets for the development of new therapeutics.

摘要

主要组织相容性复合体I类(MHC-I)蛋白呈递的肽段可为使用T细胞受体(TCR)、TCR模拟抗体(TMA)或其他工程化蛋白结合物进行治疗靶向提供生物标志物。尽管人类白细胞抗原(HLA,即人类MHC)的序列具有极端多样性,但给定的TCR或TMA仅限于在一组有限的不同HLA等位基因背景下识别表位肽段。在此,在对98个TCR:pHLA复合体结构进行分析的指导下,我们确定了TCR接触残基,并根据其呈现的表面特征将148个常见HLA等位基因分类为T细胞交叉反应性组(T-CREG)。我们工作的见解对于预测TCR的MHC-I限制性、指导现有基于TCR方法的治疗性扩展以及为开发新疗法选择肽段靶点具有实际应用价值。