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Ultrafast end-to-end protein structure prediction enables high-throughput exploration of uncharacterized proteins
Deep learning-based prediction of protein structure usually begins by constructing a multiple sequence alignment (MSA) containing homologs of the target protein. The most successful approaches combine large feature sets derived from MSAs, and considerable computational effort is spent deriving these...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795500/ https://www.ncbi.nlm.nih.gov/pubmed/35074909 http://dx.doi.org/10.1073/pnas.2113348119 |