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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...
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| Published in: | Front Bioinform |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Frontiers Media S.A.
2021
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8301223/ https://ncbi.nlm.nih.gov/pubmed/34308415 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fbinf.2021.689960 |
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