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Updated: Jun 11, 2025

High-throughput Confocal Imaging of Quantum Dot-Conjugated SARS-CoV-2 Spike Trimers to Track Binding and Endocytosis in HEK293T Cells
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High-throughput Confocal Imaging of Quantum Dot-Conjugated SARS-CoV-2 Spike Trimers to Track Binding and Endocytosis in HEK293T Cells

Published on: April 21, 2022

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深度学习用于区分SARS-CoV-2尖峰-ACE2分子动力学模拟中的非微不足道的构造变化

Lucas Moraes Dos Santos1, José Gutembergue de Mendonça2, Yan Jerônimo Gomes Lobo3

  • 1Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil. lucas.santos@dcc.ufmg.br.

Scientific reports
|September 30, 2024
PubMed
概括

深度学习模型使用分子动力学模拟预测了影响尖端蛋白结合亲和力和免疫性SARS-CoV-2突变. 这种方法有效地识别出可能更具传染性和免疫逃避性的变种.

关键词:
美国有线电视新闻网 (CNN)深度学习是一种深度学习.距离地图 距离地图分子动力学分子动力学

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