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利用残基水平的协同进化信息预测点突变后蛋白质折叠速率的变化。

Predicting protein folding rate change upon point mutation using residue-level coevolutionary information.

作者信息

Mallik Saurav, Das Smita, Kundu Sudip

机构信息

Department of Biophysics, Molecular Biology and Bioinformatics, University of Calcutta, Kolkata, 700009, India.

Center of Excellence in Systems Biology and Biomedical Engineering (TEQIP Phase-II), University of Calcutta, Kolkata, 700009, India.

出版信息

Proteins. 2016 Jan;84(1):3-8. doi: 10.1002/prot.24960. Epub 2015 Dec 9.

Abstract

Change in folding kinetics of globular proteins upon point mutation is crucial to a wide spectrum of biological research, such as protein misfolding, toxicity, and aggregations. Here we seek to address whether residue-level coevolutionary information of globular proteins can be informative to folding rate changes upon point mutations. Generating residue-level coevolutionary networks of globular proteins, we analyze three parameters: relative coevolution order (rCEO), network density (ND), and characteristic path length (CPL). A point mutation is considered to be equivalent to a node deletion of this network and respective percentage changes in rCEO, ND, CPL are found linearly correlated (0.84, 0.73, and -0.61, respectively) with experimental folding rate changes. The three parameters predict the folding rate change upon a point mutation with 0.031, 0.045, and 0.059 standard errors, respectively.

摘要

球状蛋白点突变时折叠动力学的变化对于广泛的生物学研究至关重要,例如蛋白质错误折叠、毒性和聚集。在这里,我们试图探讨球状蛋白的残基水平协同进化信息是否能为点突变时的折叠速率变化提供信息。通过生成球状蛋白的残基水平协同进化网络,我们分析了三个参数:相对协同进化顺序(rCEO)、网络密度(ND)和特征路径长度(CPL)。点突变被认为等同于该网络的节点删除,并且发现rCEO、ND、CPL的各自百分比变化与实验折叠速率变化呈线性相关(分别为0.84、0.73和-0.61)。这三个参数预测点突变时折叠速率变化的标准误差分别为0.031、0.045和0.059。

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