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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...

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Bibliografische gegevens
Hoofdauteurs: Mathe, Ewy, Olivier, Magali, Kato, Shunsuke, Ishioka, Chikashi, Hainaut, Pierre, Tavtigian, Sean V.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2006
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC1390679/
https://ncbi.nlm.nih.gov/pubmed/16522644
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/nar/gkj518
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