Ganggang Bai , Chuance Sun , Ziang Guo , Yangjing Wang , Xincheng Zeng , Yuhong Su , Qi Zhao , Buyong Ma
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引用次数: 2
Abstract
Therapeutic antibodies are the largest class of biotherapeutics and have been successful in treating human diseases. However, the design and discovery of antibody drugs remains challenging and time-consuming. Recently, artificial intelligence technology has had an incredible impact on antibody design and discovery, resulting in significant advances in antibody discovery, optimization, and developability. This review summarizes major machine learning (ML) methods and their applications for computational predictors of antibody structure and antigen interface/interaction, as well as the evaluation of antibody developability. Additionally, this review addresses the current status of ML-based therapeutic antibodies under preclinical and clinical phases. While many challenges remain, ML may offer a new therapeutic option for the future direction of fully computational antibody design.
期刊介绍：
Seminars in Cancer Biology (YSCBI) is a specialized review journal that focuses on the field of molecular oncology. Its primary objective is to keep scientists up-to-date with the latest developments in this field.
The journal adopts a thematic approach, dedicating each issue to an important topic of interest to cancer biologists. These topics cover a range of research areas, including the underlying genetic and molecular causes of cellular transformation and cancer, as well as the molecular basis of potential therapies.
To ensure the highest quality and expertise, every issue is supervised by a guest editor or editors who are internationally recognized experts in the respective field. Each issue features approximately eight to twelve authoritative invited reviews that cover various aspects of the chosen subject area.
The ultimate goal of each issue of YSCBI is to offer a cohesive, easily comprehensible, and engaging overview of the selected topic. The journal strives to provide scientists with a coordinated and lively examination of the latest developments in the field of molecular oncology.
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