免疫原性
生物
抗体
免疫学
转化式学习
计算生物学
心理学
教育学
作者
Paul J. Carter,Arvind Rajpal
出处
期刊:Cell
[Elsevier]
日期:2022-07-01
卷期号:185 (15): 2789-2805
被引量:101
标识
DOI:10.1016/j.cell.2022.05.029
摘要
Antibody therapeutics are a large and rapidly expanding drug class providing major health benefits. We provide a snapshot of current antibody therapeutics including their formats, common targets, therapeutic areas, and routes of administration. Our focus is on selected emerging directions in antibody design where progress may provide a broad benefit. These topics include enhancing antibodies for cancer, antibody delivery to organs such as the brain, gastrointestinal tract, and lungs, plus antibody developability challenges including immunogenicity risk assessment and mitigation and subcutaneous delivery. Machine learning has the potential, albeit as yet largely unrealized, for a transformative future impact on antibody discovery and engineering.
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