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Geometric potentials from deep learning improve prediction of CDR H3 loop structures
MOTIVATION: Antibody structure is largely conserved, except for a complementarity-determining region featuring six variable loops. Five of these loops adopt canonical folds which can typically be predicted with existing methods, while the remaining loop (CDR H3) remains a challenge due to its highly...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7355305/ https://ncbi.nlm.nih.gov/pubmed/32657412 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa457 |
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