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A protein structural study based on the centrality analysis of protein sequence feature networks
In this paper, we use network approaches to analyze the relations between protein sequence features for the top hierarchical classes of CATH and SCOP. We use fundamental connectivity measures such as correlation (CR), normalized mutual information rate (nMIR), and transfer entropy (TE) to analyze th...
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| Publicado en: | PLoS One |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8006989/ https://ncbi.nlm.nih.gov/pubmed/33780482 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0248861 |
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