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激动剂抗体的发现:实验、计算和合理的工程方法。

Agonist antibody discovery: Experimental, computational, and rational engineering approaches.

机构信息

Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Pharmaceutical Sciences, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.

Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Biointerfaces Institute, University of Michigan, Ann Arbor, MI 48109, USA.

出版信息

Drug Discov Today. 2022 Jan;27(1):31-48. doi: 10.1016/j.drudis.2021.09.008. Epub 2021 Sep 24.

Abstract

Agonist antibodies that activate cellular signaling have emerged as promising therapeutics for treating myriad pathologies. Unfortunately, the discovery of rare antibodies with the desired agonist functions is a major bottleneck during drug development. Nevertheless, there has been important recent progress in discovering and optimizing agonist antibodies against a variety of therapeutic targets that are activated by diverse signaling mechanisms. Herein, we review emerging high-throughput experimental and computational methods for agonist antibody discovery as well as rational molecular engineering methods for optimizing their agonist activity.

摘要

激动剂抗体可激活细胞信号转导,已成为治疗多种疾病的有前途的治疗方法。不幸的是,在药物开发过程中,发现具有所需激动剂功能的罕见抗体是一个主要瓶颈。尽管如此,在发现和优化针对各种治疗靶点的激动剂抗体方面,已经取得了重要的进展,这些靶点通过不同的信号机制被激活。本文综述了激动剂抗体发现的新兴高通量实验和计算方法,以及优化其激动活性的合理分子工程方法。

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