Department of Bioengineering and Therapeutic Sciences, California Institute for Quantitative Biomedical Research (QB3), University of California San Francisco, San Francisco, California, United States of America.
PLoS Negl Trop Dis. 2012;6(12):e1942. doi: 10.1371/journal.pntd.0001942. Epub 2012 Dec 6.
We performed a genome-level computational study of sequence and structure similarity, the latter using crystal structures and models, of the proteases of Homo sapiens and the human parasite Trypanosoma brucei. Using sequence and structure similarity networks to summarize the results, we constructed global views that show visually the relative abundance and variety of proteases in the degradome landscapes of these two species, and provide insights into evolutionary relationships between proteases. The results also indicate how broadly these sequence sets are covered by three-dimensional structures. These views facilitate cross-species comparisons and offer clues for drug design from knowledge about the sequences and structures of potential drug targets and their homologs. Two protease groups ("M32" and "C51") that are very different in sequence from human proteases are examined in structural detail, illustrating the application of this global approach in mining new pathogen genomes for potential drug targets. Based on our analyses, a human ACE2 inhibitor was selected for experimental testing on one of these parasite proteases, TbM32, and was shown to inhibit it. These sequence and structure data, along with interactive versions of the protein similarity networks generated in this study, are available at http://babbittlab.ucsf.edu/resources.html.
我们对智人物种和人类寄生虫布氏锥虫的蛋白酶进行了基因组水平的序列和结构相似性的计算研究,后者使用晶体结构和模型。使用序列和结构相似性网络来总结结果,我们构建了全局视图,直观地显示了这两个物种的降解酶景观中蛋白酶的相对丰度和多样性,并深入了解了蛋白酶之间的进化关系。结果还表明,这三个三维结构序列集的覆盖范围有多广。这些视图促进了跨物种比较,并为药物设计提供了线索,使人们了解潜在药物靶点及其同源物的序列和结构。我们详细研究了两个在序列上与人类蛋白酶非常不同的蛋白酶组("M32"和"C51"),说明了这种全局方法在挖掘新病原体基因组中潜在药物靶点方面的应用。基于我们的分析,选择了一种人类 ACE2 抑制剂进行实验测试,结果表明该抑制剂可以抑制其中一种寄生虫蛋白酶 TbM32。这些序列和结构数据以及本研究中生成的蛋白质相似性网络的交互式版本可在 http://babbittlab.ucsf.edu/resources.html 上获得。