NetGO 3.0: Protein Language Model Improves Large-scale Functional Annotations

As one of the state-of-the-art automated function prediction (AFP) methods, NetGO 2.0 integrates multi-source information to improve the performance. However, it mainly utilizes the proteins with experimentally supported functional annotations without leveraging valuable information from a vast numb...

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Detalles Bibliográficos
Autores principales: Wang, Shaojun, You, Ronghui, Liu, Yunjia, Xiong, Yi, Zhu, Shanfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Web Server
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626176/
https://www.ncbi.nlm.nih.gov/pubmed/37075830
http://dx.doi.org/10.1016/j.gpb.2023.04.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10626176/
https://www.ncbi.nlm.nih.gov/pubmed/37075830
http://dx.doi.org/10.1016/j.gpb.2023.04.001

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