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Updated: May 14, 2025

Reverse Genetics to Engineer Positive-Sense RNA Virus Variants
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将学习转移到预测病毒误解突变:SARS-CoV-2的一个案例研究

Shaylyn Govender1, Emily Morgan1, Rabelani Ramahala1

  • 1Research Unit in Bioinformatics (RUBi), Department of Biochemistry, Microbiology and Bioinformatics, Rhodes University, Makhanda 6139, South Africa.

Computational and structural biotechnology journal
|May 12, 2025
PubMed
概括

转移学习成功地将在SARS-CoV-2主要蛋白酶上训练的机器学习模型应用于其他病毒蛋白,显示出预测突变和指导抗病毒进化药物开发的希望.

关键词:
动态残留物网络的动态残留物网络.机器学习是机器学习.主要蛋白质酶的主要蛋白质酶.NSP10-NSP16复杂的NSP10-NSP16复杂的NSP10-NSP16复杂的NSP16复杂的NSP10-NSP16复杂的NSP16复杂的NSP10复杂的NSP16复杂的NSP10复杂的NSP16复杂的NSP10复杂的NSP16复杂的NSP10复杂的NSP16复杂的NSP10复杂的NSP16复杂的NSP16复杂的帕帕因类蛋白酶是一种类似帕帕因的蛋白酶.尖蛋白质是一种尖蛋白质.

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