Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function

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MOTIVATION: Millions of protein sequences have been generated by numerous genome and transcriptome sequencing projects. However, experimentally determining the function of the proteins is still a time consuming, low-throughput, and expensive process, leading to a large protein sequence-function gap....

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Detalles Bibliográficos
Autores principales: Boadu, Frimpong, Cao, Hongyuan, Cheng, Jianlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Macromolecular Sequence, Structure, and Function
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311302/
https://www.ncbi.nlm.nih.gov/pubmed/37387145
http://dx.doi.org/10.1093/bioinformatics/btad208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311302/
https://www.ncbi.nlm.nih.gov/pubmed/37387145
http://dx.doi.org/10.1093/bioinformatics/btad208

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