Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function
Abstract 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-funct...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | angličtina |
| Vydáno: |
2023
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| On-line přístup: | https://doi.org/10.1093/bioinformatics/btad208 https://academic.oup.com/bioinformatics/article-pdf/39/Supplement_1/i318/50741489/btad208.pdf |
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