基于图的特征用于指导理性抗体工程。

Using Graph-Based Signatures to Guide Rational Antibody Engineering.

机构信息

Structural Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, Bio21 Institute, University of Melbourne, Parkville, VIC, Australia.

Computational Biology and Clinical Informatics, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.

出版信息

Methods Mol Biol. 2023;2552:375-397. doi: 10.1007/978-1-0716-2609-2_21.

DOI:10.1007/978-1-0716-2609-2_21

PMID:36346604

Abstract

Antibodies are essential experimental and diagnostic tools and as biotherapeutics have significantly advanced our ability to treat a range of diseases. With recent innovations in computational tools to guide protein engineering, we can now rationally design better antibodies with improved efficacy, stability, and pharmacokinetics. Here, we describe the use of the mCSM web-based in silico suite, which uses graph-based signatures to rapidly identify the structural and functional consequences of mutations, to guide rational antibody engineering to improve stability, affinity, and specificity.

摘要

抗体是至关重要的实验和诊断工具，随着生物疗法的显著进步，我们有能力治疗一系列疾病。最近，计算工具的创新为蛋白质工程提供了指导，我们现在可以合理设计具有更好疗效、稳定性和药代动力学的更好的抗体。在这里，我们描述了使用基于图的签名快速识别突变的结构和功能后果的基于网络的计算工具 mCSM，以指导合理的抗体工程，提高稳定性、亲和力和特异性。