Predicting Natural Evolution in the RBD Region of the Spike Glycoprotein of SARS-CoV-2 by Machine Learning

Predicting Natural Evolution in the RBD Region of the Spike Glycoprotein of SARS-CoV-2 by Machine Learning

Machine learning (ML) is a key focus in predicting protein mutations and aiding directed evolution. Research on potential virus variants is crucial for vaccine development. In this study, the machine learning software PyPEF was employed to conduct mutation analysis within the receptor-binding domain...

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Bibliographic Details
Main Authors: Yiheng Liu, Zitong He, Liyiyang Jia, Yiwei Xue, Yuxuan Du, Huiwen Tan, Xianzhi Zhang, Yu Ji, Yigang Tong, Haijun Xu, Luo Liu
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Viruses
Subjects:
SARS-CoV-2 RBD
machine learning
timestamping algorithm
Online Access:https://www.mdpi.com/1999-4915/16/3/477

Internet

https://www.mdpi.com/1999-4915/16/3/477

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