Predicting changes in the stability of proteins and protein complexes: A study of more than 1000 mutations
Predicting changes in the stability of proteins and protein complexes: A study of more than 1000 mutations
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DOI：
10.1016/s0022-2836(02)00442-4
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发表时间：
2002-07-05
影响因子：
5.6
通讯作者：
Serrano, L
中科院分区：
文献类型：
--
作者：
Guerois, R;Nielsen, JE;Serrano, L
我们开发了一种计算机算法，FOLDEF（基于FOLD - X能量函数），用于快速定量地评估对蛋白质及蛋白质复合物稳定性有贡献的相互作用的重要性。FOLDEF的预测能力在涵盖蛋白质中大部分结构环境的大量点突变体（1088个突变体）上进行了测试。FOLDEF使用蛋白质结构的全原子描述。FOLDEF中考虑的不同能量项是使用从蛋白质工程实验获得的经验数据进行加权的。首先，我们考虑了9种不同蛋白质中的339个突变体的训练数据库，并优化了最能解释突变体稳定性变化的参数集和加权因子。然后使用一个包含667个突变体的盲测突变体数据库以及一个82个蛋白质 - 蛋白质复合物突变体的数据库对该方法的预测能力进行了测试。对于整个突变体数据库（1030个突变体）中95%的数据，得到的全局相关性为0.83，标准偏差为0.81千卡/摩尔，斜率为0.76。当前的能量函数使用最少的计算资源，因此可以很容易地用于蛋白质设计算法，以及在需要快速准确能量函数的蛋白质结构和折叠途径预测领域。FOLDEF可通过网络界面http://fold - x.embl - heidelberg.de获取。© 2002爱思唯尔科学有限公司。保留所有权利。
We have developed a computer algorithm, FOLDEF (for FOLD-X energy function), to provide a fast and quantitative estimation of the importance of the interactions contributing to the stability of proteins and protein complexes. The predictive power of FOLDEF was tested on a very large set of point mutants (1088 mutants) spanning most of the structural environments found in proteins. FOLDEF uses a full atomic description of the structure of the proteins. The different energy terms taken into account in FOLDEF have been weighted using empirical data obtained from protein engineering experiments. First, we considered a training database of 339 mutants in nine different proteins and optimised the set of parameters and weighting factors that best accounted for the changes in stability of the mutants. The predictive power of the method was then tested using a blind test mutant database of 667 mutants, as well as a database of 82 protein-protein complex mutants. The global correlation obtained for 95% of the entire mutant database (1030 mutants) is 0.83 with a standard deviation of 0.81 kcal mol(-1) and a slope of 0.76. The present energy function uses a minimum of computational resources and can therefore easily be used in protein design algorithms, and in the field of protein structure and folding pathways prediction where one requires a fast and accurate energy function. FOLDEF is available via a web-interface at http://fold-x.embl-heidelberg.de (C) 2002 Elsevier Science Ltd. All rights reserved.