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Computational approaches for predicting the biological effect of p53 missense mutations: a comparison of three sequence analysis based methods
Prediction of the biological effect of missense substitutions has become important because they are often observed in known or candidate disease susceptibility genes. In this paper, we carried out a 3-step analysis of 1514 missense substitutions in the DNA-binding domain (DBD) of TP53, the most freq...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1390679/ https://www.ncbi.nlm.nih.gov/pubmed/16522644 http://dx.doi.org/10.1093/nar/gkj518 |