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

• Published in: Genomics, proteomics & bioinformatics Vol. 21; no. 2; pp. 349 - 358
• Main Authors: Wang, Shaojun, You, Ronghui, Liu, Yunjia, Xiong, Yi, Zhu, Shanfeng
• Format: Journal Article
• Language: English
• Published: China Elsevier B.V 01.04.2023; Elsevier
• Subjects: Large-scale multi-label learning; Learning to rank; Protein function prediction; Protein language model; Web Server; Web service; Learning to rank; Large-scale multi-label learning; Protein language model; Protein function prediction; Web service; Protein language models

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...