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SNAP predicts effect of mutations on protein function

机译:SNAP预测突变对蛋白质功能的影响

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摘要

Summary: Many non-synonymous single nucleotide polymor-phisms (nsSNPs) in humans are suspected to impact protein function. Here, we present a publicly available server implementation of the method SNAP (screening for non-acceptable polymorphisms) that predicts the functional effects of single amino acid substitutions. SNAP identifies over 80% of the non-neutral mutations at 77% accuracy and over 76% of the neutral mutations at 80% accuracy at its default threshold. Each prediction is associated with a reliability index that correlates with accuracy and thereby enables experimentalists to zoom into the most promising predictions.
机译:摘要:怀疑人类中许多非同义的单核苷酸多态性(nsSNP)会影响蛋白质功能。在这里,我们介绍了可预测单个氨基酸取代的功能效应的SNAP(筛选不可接受的多态性)方法的公开服务器实现。 SNAP以其默认阈值识别出80%的非中性突变,准确度为77%,超过76%的中性突变,准确度为80%。每个预测都与与准确性相关的可靠性指标相关联,从而使实验人员能够放大最有前途的预测。

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  • 来源
    《Bioinformatics》 |2008年第20期|p.2397-2398|共2页
  • 作者单位

    1Department of Biochemistry and Molecular Biophysics, Columbia University, 630 West 168th Street, 2Columbia University Center for Computational Biology and Bioinformatics (C2B2) and 3NorthEast Structural Genomics Consortium (NESG) and New York Consortium on Membrane Protein Structure (NYCOMPS), Columbia University, 1130 St Nicholas Ave. Rm. 802, New York, NY 10032, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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