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首页> 外文期刊>Pharmacological reports: PR >Non-neutral nonsynonymous single nucleotide polymorphisms in human ABC transporters: the first comparison of six prediction methods.
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Non-neutral nonsynonymous single nucleotide polymorphisms in human ABC transporters: the first comparison of six prediction methods.

机译:人类ABC转运蛋白中的非中性非同义单核苷酸多态性:六种预测方法的首次比较。

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Nonsynonymous single nucleotide polymorphisms (nsSNPs) in coding regions that can lead to amino acid changes may cause alteration of protein function and account for susceptibility to disease and altered drug/xenobiotic response. Abundant nsSNPs have been found in genes coding for human ATP-binding cassette (ABC) transporters, but there is little known about the relationship between the genotype and phenotype of nsSNPs in these membrane proteins. In addition, it is unknown which prediction method is better suited for the prediction of non-neutral nsSNPs of ABC transporters. We have identified 2,172 validated nsSNPs in 49 human ABC transporter genes from the Ensembl genome database and the NCBI SNP database. Using six different algorithms, 41 to 52% of nsSNPs in ABC transporter genes were predicted to have functional impacts on protein function. Predictions largely agreed with the available experimental annotations. Overall, 78.5% of non-neutral nsSNPs were predicted correctly as damaging by SNAP, which together with SIFT and PolyPhen, was superior to the prediction methods Pmut, PhD-SNP, and Panther. This study also identified any amino acids that were likely to be functionally critical but have not yet been studied experimentally. There was significant concordance between the predicted results of SIFT and PolyPhen. Evolutionarily non-neutral (destabilizing) amino acid substitutions are predicted to be the basis for the pathogenic alteration of ABC transporter activity that is associated with disease susceptibility and altered drug/xenobiotic response.
机译:编码区中的非同义单核苷酸多态性(nsSNPs)可能导致氨基酸变化,可能导致蛋白质功能改变,并说明疾病易感性和药物/异种生物反应。在编码人ATP结合盒(ABC)转运蛋白的基因中发现了丰富的nsSNP,但是对于这些膜蛋白中nsSNP的基因型和表型之间的关系知之甚少。此外,尚不清楚哪种预测方法更适合预测ABC转运蛋白的非中性nsSNP。我们已经从Ensembl基因组数据库和NCBI SNP数据库中的49个人类ABC转运蛋白基因中鉴定了2,172个经过验证的nsSNP。使用六种不同的算法,预测ABC转运蛋白基因中41%到52%的nsSNP对蛋白质功能有功能性影响。预测在很大程度上与可用的实验注释一致。总体而言,SNAP正确预测了78.5%的非中性nsSNPs损伤,与SIFT和PolyPhen一起,优于Pmut,PhD-SNP和Panther的预测方法。这项研究还确定了可能对功能至关重要但尚未进行实验研究的任何氨基酸。 SIFT和PolyPhen的预测结果之间存在显着的一致性。进化上非中性的(不稳定的)氨基酸取代被预测为与疾病易感性和改变的药物/异种生物反应相关的ABC转运蛋白活性的病原性改变的基础。

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