原籍国
肽序列
氨基酸残基
序列(生物学)
折叠(DSP实现)
氨基酸
功率因数值分析
化学
计算生物学
蛋白质折叠
计算机科学
生物系统
生物化学
卡斯普
蛋白质结构
蛋白质二级结构
蛋白质测序
蛋白质结构预测
分子动力学
蛋白质数据库
生物
工程类
电气工程
基因
摘要
Prediction of protein folding rates from amino acid sequences is one of the most important challenges in molecular biology. In this work, I have related the protein folding rates with physical-chemical, energetic and conformational properties of amino acid residues. I found that the classification of proteins into different structural classes shows an excellent correlation between amino acid properties and folding rates of two- and three-state proteins, indicating the importance of native state topology in determining the protein folding rates. I have formulated a simple linear regression model for predicting the protein folding rates from amino acid sequences along with structural class information and obtained an excellent agreement between predicted and experimentally observed folding rates of proteins; the correlation coefficients are 0.99, 0.96 and 0.95, respectively, for all-α, all-β and mixed class proteins. This is the first available method, which is capable of predicting the protein folding rates just from the amino acid sequence with the aid of generic amino acid properties and structural class information.
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