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A General Framework to Learn Tertiary Structure for Protein Sequence Characterization
During the past five years, deep-learning algorithms have enabled ground-breaking progress towards the prediction of tertiary structure from a protein sequence. Very recently, we developed SAdLSA, a new computational algorithm for protein sequence comparison via deep-learning of protein structural a...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8301223/ https://www.ncbi.nlm.nih.gov/pubmed/34308415 http://dx.doi.org/10.3389/fbinf.2021.689960 |