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Predicting disease-associated substitution of a single amino acid by analyzing residue interactions
BACKGROUND: The rapid accumulation of data on non-synonymous single nucleotide polymorphisms (nsSNPs, also called SAPs) should allow us to further our understanding of the underlying disease-associated mechanisms. Here, we use complex networks to study the role of an amino acid in both local and glo...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3027113/ https://ncbi.nlm.nih.gov/pubmed/21223604 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-14 |
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