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RASP: rapid modeling of protein side chain conformations

机译:RASP:蛋白质侧链构象的快速建模

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Motivation: Modeling of side chain conformations constitutes an indispensable effort in protein structure modeling, protein-protein docking and protein design. Thanks to an intensive attention to this field, many of the existing programs can achieve reasonably good and comparable prediction accuracy. Moreover, in our previous work on CIS-RR, we argued that the prediction with few atomic clashes can complement the current existing methods for subsequent analysis and refinement of protein structures. However, these recent efforts to enhance the quality of predicted side chains have been accompanied by a significant increase of computational cost.Results: In this study, by mainly focusing on improving the speed of side chain conformation prediction, we present a RApid Side-chain Predictor, called RASP. To achieve a much faster speed with a comparable accuracy to the best existing methods, we not only employ the clash elimination strategy of CIS-RR, but also carefully optimize energy terms and integrate different search algorithms. In comprehensive benchmark testings, RASP is over one order of magnitude faster (similar to 40 times over CIS-RR) than the recently developed methods, while achieving comparable or even better accuracy.
机译:动机:侧链构象的建模是蛋白质结构建模,蛋白质-蛋白质对接和蛋白质设计中必不可少的工作。由于对此领域的高度关注,许多现有程序都可以实现相当不错的可比预测精度。此外,在我们先前对CIS-RR的研究中,我们认为几乎没有原子冲突的预测可以补充当前现有的方法,用于随后的蛋白质结构分析和优化。然而,这些最近的提高预测侧链质量的努力伴随着计算成本的显着增加。结果:在这项研究中,我们主要着眼于提高侧链构象预测的速度,我们提出了一个RApid侧链预测变量,称为RASP。为了以与现有最佳方法相当的精度获得更快的速度,我们不仅采用CIS-RR的冲突消除策略,而且还精心优化了能量项并集成了不同的搜索算法。在全面的基准测试中,RASP比最新开发的方法快一个数量级(比CIS-RR快40倍),同时达到相当甚至更高的精度。

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