FOLD-RATE: prediction of protein folding rates from amino acid sequence.
FOLD-RATE: prediction of protein folding rates from amino acid sequence.
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DOI：
10.1093/nar/gkl043
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发表时间：
2006-07-01
影响因子：
14.9
通讯作者：
Selvaraj S
中科院分区：
文献类型：
--
作者：
Gromiha MM;Thangakani AM;Selvaraj S
我们开发了一个web服务器，FOLD-RATE，用于根据氨基酸序列预测蛋白质的折叠率。系统分析了氨基酸性质与蛋白质折叠率之间的关系，提出了一种基于线性回归技术的预测蛋白质折叠率的统计方法。我们发现，将蛋白质分类为不同的结构类别表明，氨基酸性质与二态和三态蛋白质的折叠率之间存在良好的相关性。因此，对于全α类、全β类和混合类的蛋白质，建立了不同的回归方程。我们观察到预测和实验观察到的蛋白质折叠率非常一致；全α、全β和混合类蛋白的相关系数分别为0.99、0.97和0.90。预测服务器免费提供。
We have developed a web server, FOLD-RATE, for predicting the folding rates of proteins from their amino acid sequences. The relationship between amino acid properties and protein folding rates has been systematically analyzed and a statistical method based on linear regression technique has been proposed for predicting the folding rate of proteins. We 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. Consequently, different regression equations have been developed for proteins belonging to all-α, all-β and mixed class. We observed an excellent agreement between predicted and experimentally observed folding rates of proteins; the correlation coefficients are, 0.99, 0.97 and 0.90, respectively, for all-α, all-β and mixed class proteins. The prediction server is freely available at .
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影响因子：
8
作者：
Ivankov, DN;Garbuzynskiy, SO;Finkelstein, AV
通讯作者：
Finkelstein, AV
DOI：
10.1093/protein/12.7.549
发表时间：
1999-07-01
期刊：
PROTEIN ENGINEERING
影响因子：
--
作者：
Gromiha, MM;Oobatake, M;Sarai, A
通讯作者：
Sarai, A
DOI：
10.1080/07391102.2000.10506666
发表时间：
2000-10-01
影响因子：
4.4
作者：
Gromiha, MM;Oobatake, M;Sarai, A
通讯作者：
Sarai, A
DOI：
10.1093/protein/9.1.27
发表时间：
1996-01-01
期刊：
PROTEIN ENGINEERING
影响因子：
--
作者：
Tomii, K;Kanehisa, M
通讯作者：
Kanehisa, M
DOI：
10.1073/pnas.0402659101
发表时间：
2004-06-15
影响因子：
11.1
作者：
Ivankov, DN;Finkelstein, AV
通讯作者：
Finkelstein, AV