Assessing the role of evolutionary information for enhancing protein language model embeddings
Abstract Embeddings from protein Language Models (pLMs) are replacing evolutionary information from multiple sequence alignments (MSAs) as the most successful input for protein prediction. Is this because embeddings capture evolutionary information? We tested various approaches to explicitly incorpo...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Nature Portfolio
2024-09-01
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| Rangatū: | Scientific Reports |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1038/s41598-024-71783-8 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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