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Multi-head attention-based U-Nets for predicting protein domain boundaries using 1D sequence features and 2D distance maps
The information about the domain architecture of proteins is useful for studying protein structure and function. However, accurate prediction of protein domain boundaries (i.e., sequence regions separating two domains) from sequence remains a significant challenge. In this work, we develop a deep le...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295499/ https://www.ncbi.nlm.nih.gov/pubmed/35854211 http://dx.doi.org/10.1186/s12859-022-04829-1 |