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Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function
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....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882282/ https://www.ncbi.nlm.nih.gov/pubmed/36711471 http://dx.doi.org/10.1101/2023.01.17.524477 |