Collectively encoding protein properties enriches protein language models. | BMC Bioinformatics;23(1): 467, 2022 Nov 08. | MEDLINE

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Collectively encoding protein properties enriches protein language models.

An, Jingmin; Weng, Xiaogang.

Affiliation

An J; School of Life Sciences, Northeast Agricultural University, Harbin, 150030, China.
Weng X; State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.

BMC Bioinformatics ; 23(1): 467, 2022 Nov 08.

Article in En | MEDLINE | ID: mdl-36348281

Subject(s)
Key words

Multi-task learning; Protein language modeling; Transfer learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Proteins Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: China Country of publication: Reino Unido

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Natural Language Processing / Proteins Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: China Country of publication: Reino Unido