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Predicting protein model correctness in Coot using machine learning
Manually identifying and correcting errors in protein models can be a slow process, but improvements in validation tools and automated model-building software can contribute to reducing this burden. This article presents a new correctness score that is produced by combining multiple sources of infor...
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| Pubblicato in: | Acta Crystallogr D Struct Biol |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
International Union of Crystallography
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7397494/ https://ncbi.nlm.nih.gov/pubmed/32744253 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1107/S2059798320009080 |
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