S-PLM: Structure-aware Protein Language Model via Contrastive Learning between Sequence and Structure

Large protein language models (PLMs) have presented excellent potential to reshape protein research. The trained PLMs encode the amino acid sequence of a protein to a mathematical embedding that can be used for protein design or property prediction. It is recognized that protein 3D structure plays a...

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Detalles Bibliográficos
Autores principales: Wang, Duolin, Abbas, Usman L, Shao, Qing, Chen, Jin, Xu, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441326/
https://www.ncbi.nlm.nih.gov/pubmed/37609352
http://dx.doi.org/10.1101/2023.08.06.552203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441326/
https://www.ncbi.nlm.nih.gov/pubmed/37609352
http://dx.doi.org/10.1101/2023.08.06.552203

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