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Reaching alignment-profile-based accuracy in predicting protein secondary and tertiary structural properties without alignment
Abstract Protein language models have emerged as an alternative to multiple sequence alignment for enriching sequence information and improving downstream prediction tasks such as biophysical, structural, and functional properties. Here we show that a method called SPOT-1D-LM combines traditional on...
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| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Portfolio
2022-05-01
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| シリーズ: | Scientific Reports |
| オンライン･アクセス: | https://doi.org/10.1038/s41598-022-11684-w |
| タグ: |
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