Chan Chen-Hsiung, Liang Han-Kuen, Hsiao Nai-Wan, Ko Ming-Tat, Lyu Ping-Chiang, Hwang Jenn-Kang
Department of Life Sciences, National Tsing Hua University, Hsinchu, Taiwan.
Proteins. 2004 Dec 1;57(4):684-91. doi: 10.1002/prot.20263.
We developed a technique to compute structural entropy directly from protein sequences. We explored the possibility of using structural entropy to identify residues involved in thermal stabilization of various protein families. Examples include methanococcal adenylate kinase, Ribonuclease HI and holocytochrome c(551). Our results show that the positions of the largest structural entropy differences between wild type and mutant usually coincide with the residues relevant to thermostability. We also observed a good linear relationship between the average structural entropy and the melting temperatures for adenylate kinase and its chimeric constructs. To validate this linear relationship, we compiled a large dataset comprised of 1153 sequences and found that most protein families still display similar linear relationships. Our results suggest that the multitude of interactions involved in thermal stabilization may be generalized into the tendency of proteins to maintain local structural conservation. The linear relationship between structural entropy and protein thermostability should be useful in the study of protein thermal stabilization.
我们开发了一种直接从蛋白质序列计算结构熵的技术。我们探索了使用结构熵来识别参与各种蛋白质家族热稳定性的残基的可能性。例子包括嗜甲烷球菌腺苷酸激酶、核糖核酸酶HI和全细胞色素c(551)。我们的结果表明,野生型和突变体之间最大结构熵差异的位置通常与与热稳定性相关的残基一致。我们还观察到腺苷酸激酶及其嵌合构建体的平均结构熵与解链温度之间存在良好的线性关系。为了验证这种线性关系,我们编制了一个由1153个序列组成的大型数据集,发现大多数蛋白质家族仍然表现出类似的线性关系。我们的结果表明,热稳定性中涉及的多种相互作用可能被概括为蛋白质维持局部结构保守性的趋势。结构熵与蛋白质热稳定性之间的线性关系在蛋白质热稳定性研究中应该是有用的。