Institute of General, Inorganic and Theoretical Chemistry, and Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innsbruck, Austria.
PLoS Comput Biol. 2013 Apr;9(4):e1003007. doi: 10.1371/journal.pcbi.1003007. Epub 2013 Apr 18.
A purely information theory-guided approach to quantitatively characterize protease specificity is established. We calculate an entropy value for each protease subpocket based on sequences of cleaved substrates extracted from the MEROPS database. We compare our results with known subpocket specificity profiles for individual proteases and protease groups (e.g. serine proteases, metallo proteases) and reflect them quantitatively. Summation of subpocket-wise cleavage entropy contributions yields a measure for overall protease substrate specificity. This total cleavage entropy allows ranking of different proteases with respect to their specificity, separating unspecific digestive enzymes showing high total cleavage entropy from specific proteases involved in signaling cascades. The development of a quantitative cleavage entropy score allows an unbiased comparison of subpocket-wise and overall protease specificity. Thus, it enables assessment of relative importance of physicochemical and structural descriptors in protease recognition. We present an exemplary application of cleavage entropy in tracing substrate specificity in protease evolution. This highlights the wide range of substrate promiscuity within homologue proteases and hence the heavy impact of a limited number of mutations on individual substrate specificity.
建立了一种纯粹基于信息理论的方法来定量描述蛋白酶的特异性。我们根据从 MEROPS 数据库中提取的切割底物序列,为每个蛋白酶亚口袋计算一个熵值。我们将我们的结果与单个蛋白酶和蛋白酶组(例如丝氨酸蛋白酶、金属蛋白酶)的已知亚口袋特异性图谱进行比较,并进行定量反映。亚口袋特异性切割熵的总和提供了一种衡量整体蛋白酶底物特异性的方法。这种总切割熵允许根据特异性对不同的蛋白酶进行排序,将具有高总切割熵的非特异性消化酶与参与信号级联的特异性蛋白酶区分开来。定量切割熵评分的开发允许对亚口袋特异性和整体蛋白酶特异性进行无偏比较。因此,它能够评估蛋白酶识别中物理化学和结构描述符的相对重要性。我们在追踪蛋白酶进化过程中的底物特异性方面展示了切割熵的一个示例应用。这突出了同源蛋白酶中底物的广泛混杂性,因此,少数突变对单个底物特异性的影响非常大。