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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Detalles Bibliográficos
Autores principales: Li, Yizhou, Wen, Zhining, Xiao, Jiamin, Yin, Hui, Yu, Lezheng, Yang, Li, Li, Menglong
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
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

Internet

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

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