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mutation3D: cancer gene prediction through atomic clustering of coding variants in the structural proteome
A new algorithm and web server, mutation3D (http://mutation3d.org), proposes driver genes in cancer by identifying clusters of amino acid substitutions within tertiary protein structures. We demonstrate the feasibility of using a 3D clustering approach to implicate proteins in cancer based on explor...
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| 出版年: | Hum Mutat |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4833594/ https://ncbi.nlm.nih.gov/pubmed/26841357 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/humu.22963 |
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