Applications of Machine and Deep Learning in Adaptive Immunity.

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Margarita Pertseva, Beichen Gao, Daniel Neumeier, Alexander Yermanos, Sai T Reddy
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引用次数: 14

Abstract

Adaptive immunity is mediated by lymphocyte B and T cells, which respectively express a vast and diverse repertoire of B cell and T cell receptors and, in conjunction with peptide antigen presentation through major histocompatibility complexes (MHCs), can recognize and respond to pathogens and diseased cells. In recent years, advances in deep sequencing have led to a massive increase in the amount of adaptive immune receptor repertoire data; additionally, proteomics techniques have led to a wealth of data on peptide-MHC presentation. These large-scale data sets are now making it possible to train machine and deep learning models, which can be used to identify complex and high-dimensional patterns in immune repertoires. This article introduces adaptive immune repertoires and machine and deep learning related to biological sequence data and then summarizes the many applications in this field, which span from predicting the immunological status of a host to the antigen specificity of individual receptors and the engineering of immunotherapeutics.

机器和深度学习在适应性免疫中的应用。
适应性免疫是由淋巴细胞B和T细胞介导的,它们分别表达大量多样的B细胞和T细胞受体,并通过主要组织相容性复合体(MHCs)与肽抗原呈递相结合,可以识别病原体和病变细胞并作出反应。近年来,深度测序的进展导致适应性免疫受体库数据量的大量增加;此外,蛋白质组学技术已经获得了丰富的肽- mhc呈递数据。这些大规模数据集现在使训练机器和深度学习模型成为可能,这些模型可用于识别免疫库中的复杂和高维模式。本文介绍了适应性免疫库和与生物序列数据相关的机器和深度学习,并总结了该领域的许多应用,从预测宿主的免疫状态到个体受体的抗原特异性和免疫治疗工程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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