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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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| Publicat a: | Cell Mol Life Sci |
|---|---|
| Autors principals: | , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer International Publishing
2019
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| Matèries: | |
| Accés en línia: | 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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