Cargando…
Utilizing protein structure to identify non-random somatic mutations
BACKGROUND: Human cancer is caused by the accumulation of somatic mutations in tumor suppressors and oncogenes within the genome. In the case of oncogenes, recent theory suggests that there are only a few key “driver” mutations responsible for tumorigenesis. As there have been significant pharmacolo...
Autores principales: | Ryslik, Gregory A, Cheng, Yuwei, Cheung, Kei-Hoi, Modis, Yorgo, Zhao, Hongyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3691676/ https://www.ncbi.nlm.nih.gov/pubmed/23758891 http://dx.doi.org/10.1186/1471-2105-14-190 |
Ejemplares similares
-
A graph theoretic approach to utilizing protein structure to identify non-random somatic mutations
por: Ryslik, Gregory A, et al.
Publicado: (2014) -
A spatial simulation approach to account for protein structure when identifying non-random somatic mutations
por: Ryslik, Gregory A, et al.
Publicado: (2014) -
Leveraging protein quaternary structure to identify oncogenic driver mutations
por: Ryslik, Gregory A., et al.
Publicado: (2016) -
Relating structure to evolution in class II viral membrane fusion proteins
por: Modis, Yorgo
Publicado: (2014) -
Semantic Web-Based Integration of Cancer Pathways and Allele Frequency Data
por: Holford, Matthew E., et al.
Publicado: (2009)