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Computational algorithms for in silico profiling of activating mutations in cancer

Methods to catalog and computationally assess the mutational landscape of proteins in human cancers are desirable. One approach is to adapt evolutionary or data-driven methods developed for predicting whether a single-nucleotide polymorphism (SNP) is deleterious to protein structure and function. In...

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Detalhes bibliográficos
Publicado no:Cell Mol Life Sci
Main Authors: Jordan, E. Joseph, Patil, Keshav, Suresh, Krishna, Park, Jin H., Mosse, Yael P., Lemmon, Mark A., Radhakrishnan, Ravi
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2019
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6589134/
https://ncbi.nlm.nih.gov/pubmed/30982079
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00018-019-03097-2
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