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...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3027113/ https://www.ncbi.nlm.nih.gov/pubmed/21223604 http://dx.doi.org/10.1186/1471-2105-12-14 |