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Prediction of nearest neighbor effects on backbone torsion angles and NMR scalar coupling constants in disordered proteins

机译:预测无序蛋白质中主链扭转角和NMR标量耦合常数的最近邻效应

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摘要

Using fine‐tuned hydrogen bonding criteria, a library of coiled peptide fragments has been generated from a large set of high‐resolution protein X‐ray structures. This library is shown to be an improved representation of ϕ/ψ torsion angles seen in intrinsically disordered proteins (IDPs). The ϕ/ψ torsion angle distribution of the library, on average, provides good agreement with experimentally observed chemical shifts and 3J HN‐Hα coupling constants for a set of five disordered proteins. Inspection of the coil library confirms that nearest‐neighbor effects significantly impact the ϕ/ψ distribution of residues in the coil state. Importantly, 3J HN‐Hα coupling constants derived from the nearest‐neighbor modulated backbone ϕ distribution in the coil library show improved agreement to experimental values, thereby providing a better way to predict 3J HN‐Hα coupling constants for IDPs, and for identifying locations that deviate from fully random behavior.
机译:使用微调的氢键合标准,已从大量高分辨率蛋白质X射线结构生成了卷曲肽片段库。该库显示为在固有无序蛋白(IDP)中看到的ϕ /ψ扭转角的改进表示。该文库的ϕ /ψ扭转角分布平均与一组五个无序蛋白的实验观察到的化学位移和 3 JHN-Hα耦合常数良好吻合。对线圈库的检查证实,最近邻效应会显着影响线圈状态下残留物的ϕ /ψ分布。重要的是,从线圈库中最近邻居调制主链<分布得出的 3 JHN-Hα耦合常数显示出与实验值更好的一致性,从而为预测 3 JHN-Hα用于IDP的耦合常数,用于识别偏离完全随机行为的位置。

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