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首页> 外文期刊>IEEE/ACM transactions on computational biology and bioinformatics >Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants
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Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants

机译：突变序列空间的功能普查：p53癌症拯救突变体的例子

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摘要

Many biomedical problems relate to mutant functional properties across a sequence space of interest, e.g., flu, cancer, and HIV. Detailed knowledge of mutant properties and function improves medical treatment and prevention. A functional census of p53 cancer rescue mutants would aid the search for cancer treatments from p53 mutant rescue. We devised a general methodology for conducting a functional census of a mutation sequence space by choosing informative mutants early. The methodology was tested in a double-blind predictive test on the functional rescue property of 71 novel putative p53 cancer rescue mutants iteratively predicted in sets of three (24 iterations). The first double-blind 15-point moving accuracy was 47 percent and the last was 86 percent; r = 0.01 before an epiphanic 16th iteration and r = 0.92 afterward. Useful mutants were chosen early (overall r = 0.80). Code and data are freely available (http://www.igb.uci.edu/research/research.html, corresponding authors: R.H.L. for computation and R.K.B. for biology).
机译：许多生物医学问题涉及跨感兴趣序列空间的突变体功能特性，例如流感，癌症和HIV。对突变体特性和功能的详细了解可以改善医学治疗和预防。对p53癌症抢救突变体进行功能普查将有助于从p53突变体抢救中寻找癌症治疗方法。我们设计了一种通过早期选择信息突变体来进行突变序列空间功能普查的通用方法。该方法在双盲预测性测试中进行了测试，该预测性针对以三组（24次迭代）迭代预测的71种新型推定的p53癌症挽救突变体的功能挽救特性。第一个双盲15点移动精度为47％，最后一个为86％； r =主显性第16次迭代前的r = 0.01，之后的r = 0.92。尽早选择有用的突变体（总体r = 0.80）。代码和数据可免费获得（http://www.igb.uci.edu/research/research.html，通讯作者：R.H.L。用于计算，R.K.B。用于生物学）。

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