结核分枝杆菌氨基酸和蛋白质的组合特征与蛋白质结晶倾向的相关性

Shaomin Yan, Guang Wu
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引用次数: 1

摘要

自十年前以来,蛋白质和氨基酸特征都与蛋白质的结晶倾向相关,以便开发预测蛋白质是否可以结晶的方法。在这项持续的研究中,使用逻辑和神经网络模型,将结合氨基酸和蛋白质特征的三个特征中的每一个与结核分枝杆菌蛋白质的结晶倾向相关联。结果表明,与从531个氨基酸特征中的每一个获得的预测相比,氨基酸分布概率和未来组成这两个组合特征对蛋白质是否会结晶有很好的预测。从第三个组合特征(氨基酸对可预测性)获得的结果证明了结核分枝杆菌蛋白质结晶倾向的趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlating Combined Features of Amino Acid and Protein with Crystallization Propensity of Proteins from Mycobacterium tuberculosis
Since a decade ago, both protein and amino acid features have been correlated with crystallization propensity of proteins in order to develop methods to predict whether a protein can be crystallized. In this continuing study, each of three features combining features of amino acid and protein, was correlated with the crystallization propensity of proteins from Mycobacterium tuberculosis using logistic and neural network models. The results showed that two combined features, amino acid distribution probability and future composition, had good predictions on whether a protein would be crystallized in comparison with the predictions obtained from each of 531 amino acid features. The results obtained from the third combined feature, amino acid pair predictability, demonstrated the trend of crystallization propensity in proteins from Mycobacterium tuberculosis.
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