序列(生物学)
抗体
计算机科学
计算生物学
蛋白质设计
人工智能
化学
生物
蛋白质结构
生物化学
免疫学
作者
Sara Joubbi,Alessio Micheli,Paolo Milazzo,Giuseppe Maccari,Giorgio Ciano,Dario Cardamone,Duccio Medini
摘要
Abstract Deep learning has achieved impressive results in various fields such as computer vision and natural language processing, making it a powerful tool in biology. Its applications now encompass cellular image classification, genomic studies and drug discovery. While drug development traditionally focused deep learning applications on small molecules, recent innovations have incorporated it in the discovery and development of biological molecules, particularly antibodies. Researchers have devised novel techniques to streamline antibody development, combining in vitro and in silico methods. In particular, computational power expedites lead candidate generation, scaling and potential antibody development against complex antigens. This survey highlights significant advancements in protein design and optimization, specifically focusing on antibodies. This includes various aspects such as design, folding, antibody–antigen interactions docking and affinity maturation.
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