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Updated: Jan 23, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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零射击深度学习与多目标优化提高了泽拉伦水解酶和西兰酶的热稳定性

Fan Wu1, Rui Wu1, Linghui Chen2

  • 1Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, University of Science and Technology of China, Hefei, Anhui, 230001, China; MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230027, China.

New biotechnology
|January 21, 2026
PubMed
概括

结合序列和结构深度学习模型,可以高效地产生多站点酶突变,增强热稳定性和保存活性. 这种综合方法克服了工业酶开发单个方法的局限性.

关键词:
深度学习是一种深度学习.酶活性的酶活动.酶的热稳定性 酶的热稳定性蛋白质序列设计的设计

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