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A key challenge in molecular biology is to decipher the mapping of protein sequence to function. To perform this mapping requires the identification of sequence features most informative about function. Here, we quantify the amount of…

生物大分子 · 定量生物学 2024-12-19 James Henderson , Yuta Nagano , Martina Milighetti , Andreas Tiffeau-Mayer

T-cells play a key role in adaptive immunity by mounting specific responses against diverse pathogens. An effective binding between T-cell receptors (TCRs) and pathogen-derived peptides presented on Major Histocompatibility Complexes (MHCs)…

T cells monitor the health status of cells by identifying foreign peptides displayed on their surface. T-cell receptors (TCRs), which are protein complexes found on the surface of T cells, are able to bind to these peptides. This process is…

定量方法 · 定量生物学 2023-03-07 Ziqi Chen , Martin Renqiang Min , Hongyu Guo , Chao Cheng , Trevor Clancy , Xia Ning

T cell receptors (TCRs) bind foreign or self-peptides attached to major histocompatibility complex (MHC) molecules, and the strength of this interaction determines T cell activation. Optimizing the ability of T cells to recognize a…

种群与进化 · 定量生物学 2018-03-23 Hanrong Chen , Arup K. Chakraborty , Mehran Kardar

The binding affinity between the T-cell receptors (TCRs) and antigenic peptides mainly determines immunological recognition. It is not a trivial task that T cells identify the digital sequences of peptide amino acids by simply relying on…

细胞行为 · 定量生物学 2024-02-14 Jin Xu , Junghyo Jo

Researching the specificity of TCR contributes to the development of immunotherapy and provides new opportunities and strategies for personalized cancer immunotherapy. Therefore, we established a TCR generative specificity detection…

定量方法 · 定量生物学 2024-07-30 Tengyao Tu , Wei Zeng , Kun Zhao , Zhenyu Zhang

T-cell receptors (TCR) are key proteins of the adaptive immune system, generated randomly in each individual, whose diversity underlies our ability to recognize infections and malignancies. Modeling the distribution of TCR sequences is of…

Cancer is a complex disease characterized by uncontrolled cell growth and proliferation. T cell receptors (TCRs) are essential proteins for the adaptive immune system, and their specific recognition of antigens plays a crucial role in the…

机器学习 · 计算机科学 2023-09-07 Zahra Tayebi , Sarwan Ali , Prakash Chourasia , Taslim Murad , Murray Patterson

Recent advancements in immune sequencing and experimental techniques are generating extensive T cell receptor (TCR) repertoire data, enabling the development of models to predict TCR binding specificity. Despite the computational challenges…

定量方法 · 定量生物学 2024-07-24 Anna Weber , Aurélien Pélissier , María Rodríguez Martínez

T cells are central to the adaptive immune response, capable of detecting pathogenic antigens while ignoring healthy tissues with remarkable specificity and sensitivity. Quantitatively understanding how T cell receptors (TCRs) discriminate…

分子网络 · 定量生物学 2025-11-25 François X. P. Bourassa , Sooraj Achar , Grégoire Altan-Bonnet , Paul François

The T cell arm of the adaptive immune system provides the host protection against unknown pathogens by discriminating between host and foreign material. This discriminatory capability is achieved by the creation of a repertoire of cells…

生物物理 · 物理学 2022-01-03 Kevin Ng Chau , Jason T. George , José N. Onuchic , Xingcheng Lin , Herbert Levine

The adaptive immune response relies on T cells that combine phenotypic specialization with diversity of T cell receptors (TCRs) to recognize a wide range of pathogens. TCRs are acquired and selected during T cell maturation in the thymus.…

T lymphocytes (T cells) orchestrate adaptive immune responses upon activation. T cell activation requires sufficiently strong binding of T cell receptors (TCRs) on their surface to short peptides (p) derived from foreign proteins, which are…

生物物理 · 物理学 2016-06-22 Andrej Kosmrlj , Arup K. Chakraborty , Mehran Kardar , Eugene I. Shakhnovich

Computational prediction of the interaction of T cell receptors (TCRs) and their ligands is a grand challenge in immunology. Despite advances in high-throughput assays, specificity-labelled TCR data remains sparse. In other domains, the…

Specific interactions between receptors and their target ligands in the presence of non-target ligands are crucial for biological processes such as T cell ligand discrimination. To discriminate between the target and non-target ligands,…

分子网络 · 定量生物学 2017-07-19 Masashi K. Kajita , Kazuyuki Aihara , Tetsuya J. Kobayashi

Understanding the binding specificity between T-cell receptors (TCRs) and peptide-major histocompatibility complexes (pMHCs) is central to immunotherapy and vaccine development. However, current predictive models struggle with…

定量方法 · 定量生物学 2025-12-29 Cong Qi , Hanzhang Fang , Siqi jiang , Tianxing Hu , Zhi Wei

The anti-cancer immune response relies on the bindings between T-cell receptors (TCRs) and antigens, which elicits adaptive immunity to eliminate tumor cells. This ability of the immune system to respond to novel various neoantigens arises…

定量方法 · 定量生物学 2025-11-11 Xing Fang , Chenpeng Yu , Shiye Tian , Hui Liu

The adhesion zone of immune cells, the 'immunological synapse', exhibits characteristic domains of receptor-ligand complexes. The domain formation is likely caused by a length difference of the receptor-ligand complexes, and has been…

软凝聚态物质 · 物理学 2015-05-19 Bartosz Rozycki , Reinhard Lipowsky , Thomas R. Weikl

T-cell receptors (TCRs) play a crucial role in the immune system by recognizing and binding to specific antigens presented by infected or cancerous cells. Understanding the sequence patterns of TCRs is essential for developing targeted…

机器学习 · 计算机科学 2024-08-05 Yicheng Lin , Dandan Zhang , Yun Liu

Identifying T-cell receptors (TCRs) that interact with antigenic peptides provides the technical basis for developing vaccines and immunotherapies. The emergent deep learning methods excel at learning antigen binding patterns from known…

定量方法 · 定量生物学 2024-11-28 Jiangbin Zheng , Qianhui Xu , Ruichen Xia , Stan Z. Li
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