Transfer learning towards predicting viral missense mutations: A case study on SARS-CoV-2

Understanding viral evolution and predicting future mutations are crucial for overcoming drug resistance and developing long-lasting treatments. Previously, we established machine learning (ML) models using dynamic residue network (DRN) metric data and leveraging a vast amount of existing mutation d...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Computational and Structural Biotechnology Journal
المؤلفون الرئيسيون:	Shaylyn Govender, Emily Morgan, Rabelani Ramahala, Kevin Lobb, Nigel T. Bishop, Özlem Tastan Bishop
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2025-01-01
الموضوعات:	NSP10-NSP16 complex Main protease Papain-like protease Spike protein Dynamic residue network Machine learning
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S2001037025001503