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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
International Union of Crystallography
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397494/ https://www.ncbi.nlm.nih.gov/pubmed/32744253 http://dx.doi.org/10.1107/S2059798320009080 |