首页> 外文会议>Pacific Symposium on Biocomputing 2006 >ACCOUNTING FOR STRUCTURAL PROPERTIES AND NUCLEOTIDE CO-VARIATIONS IN THE QUANTITATIVE PREDICTION OF BINDING AFFINITIES OF PROTEIN-DNA INTERACTIONS
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ACCOUNTING FOR STRUCTURAL PROPERTIES AND NUCLEOTIDE CO-VARIATIONS IN THE QUANTITATIVE PREDICTION OF BINDING AFFINITIES OF PROTEIN-DNA INTERACTIONS

机译:蛋白质-DNA相互作用的结合亲和力定量预测中的结构性质和核苷酸共变

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摘要

We describe a quantitative model for predicting the binding affinity of protein-DNA interactions. The described model is based on templates capable of providing a global representation of the modelled transcription factor (TF) binding sites. Templates can capture non independent nucleotide variations and structural properties present in these sites. Tests carried out on the p50p50 and p50p65 variants of the transcription factor NF-кB demonstrate a high correlation between the observed binding affinities and the binding affinities predicted by the templates. Only a small subset of training data spanning the space of the binding sites is required to train the templates.
机译:我们描述了预测蛋白质-DNA相互作用的结合亲和力的定量模型。所描述的模型基于能够提供建模的转录因子(TF)结合位点的整体表示的模板。模板可以捕获这些位点中存在的非独立核苷酸变异和结构特性。对转录因子NF-кB的p50p50和p50p65变体进行的测试表明,观察到的结合亲和力与模板预测的结合亲和力之间具有高度相关性。只需要跨越绑定位点空间的一小部分训练数据即可训练模板。

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