Department of Chemistry, University of California, Irvine, CA 92697, USA.
Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA.
Biomolecules. 2023 Feb 9;13(2):328. doi: 10.3390/biom13020328.
Understanding the molecular adaptations of organisms to extreme environments requires a comparative analysis of protein structure, function, and dynamics across species found in different environmental conditions. Computational studies can be particularly useful in this pursuit, allowing exploratory studies of large numbers of proteins under different thermal and chemical conditions that would be infeasible to carry out experimentally. Here, we perform such a study of the MEROPS family S11, S12, and S13 proteases from psychophilic, mesophilic, and thermophilic bacteria. Using a combination of protein structure prediction, atomistic molecular dynamics, and trajectory analysis, we examine both conserved features and trends across thermal groups. Our findings suggest a number of hypotheses for experimental investigation.
了解生物对极端环境的分子适应需要对不同环境条件下的物种的蛋白质结构、功能和动力学进行比较分析。在这方面,计算研究特别有用,可以在不同的热和化学条件下对大量蛋白质进行探索性研究,而这些研究在实验上是不可行的。在这里,我们对嗜热菌、中温菌和嗜热菌的 MEROPS 家族 S11、S12 和 S13 蛋白酶进行了这样的研究。我们使用蛋白质结构预测、原子分子动力学和轨迹分析相结合的方法,研究了跨热群的保守特征和趋势。我们的研究结果为实验研究提出了一些假设。