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Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13
We report the results of residue-residue contact prediction of a new pipeline built purely on the learning of coevolutionary features in the CASP13 experiment. For a query sequence, the pipeline starts with the collection of multiple sequence alignments (MSAs) from multiple genome and metagenome seq...
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| Pubblicato in: | Proteins |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6851483/ https://ncbi.nlm.nih.gov/pubmed/31407406 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/prot.25798 |
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