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GraphQA: protein model quality assessment using graph convolutional networks
MOTIVATION: Proteins are ubiquitous molecules whose function in biological processes is determined by their 3D structure. Experimental identification of a protein’s structure can be time-consuming, prohibitively expensive and not always possible. Alternatively, protein folding can be modeled using c...
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| Publié dans: | Bioinformatics |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8058777/ https://ncbi.nlm.nih.gov/pubmed/32780838 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa714 |
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