Fast end-to-end surface interpretation of SARS-CoV-2 variants by differentiable molecular surface interaction fingerprinting method

Confronting the challenge of persistent mutations of SARS-CoV-2, researchers have turned to deep learning methods to predict the mutated structures of spike proteins and to hypothesize potential changes in their structures and drug efficacies. However, limited works are focused on the surface learni...

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Detalles Bibliográficos
Autores principales: Zheng, Ziyang, Jiao, Yanqi, You, Haixin, An, Junfeng, Sun, Yao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570951/
https://www.ncbi.nlm.nih.gov/pubmed/37841329
http://dx.doi.org/10.1016/j.csbj.2023.09.033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10570951/
https://www.ncbi.nlm.nih.gov/pubmed/37841329
http://dx.doi.org/10.1016/j.csbj.2023.09.033

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