Department of Bioengineering, McGill University, Montreal, QC, Canada.
Nat Commun. 2019 Jul 19;10(1):3205. doi: 10.1038/s41467-019-11180-2.
Protein-protein interaction (PPI) networks (interactome networks) have successfully advanced our knowledge of molecular function, disease and evolution. While much progress has been made in quantifying errors and biases in experimental PPI datasets, it remains unknown what fraction of the error-free PPIs in the cell are completely dispensable, i.e., effectively neutral upon disruption. Here, we estimate dispensable content in the human interactome by calculating the fractions of PPIs disrupted by neutral and non-neutral mutations. Starting with the human reference interactome determined by experiments, we construct a human structural interactome by building homology-based three-dimensional structural models for PPIs. Next, we map common mutations from healthy individuals as well as Mendelian disease-causing mutations onto the human structural interactome, and perform structure-based calculations of how these mutations perturb the interactome. Using our predicted as well as experimentally-determined interactome perturbation patterns by common and disease mutations, we estimate that <~20% of the human interactome is completely dispensable.
蛋白质-蛋白质相互作用 (PPI) 网络 (相互作用组网络) 成功地推进了我们对分子功能、疾病和进化的认识。虽然在量化实验 PPI 数据集的误差和偏差方面已经取得了很大进展,但仍不清楚细胞中无误差的 PPI 中有多少是完全可有可无的,即破坏后实际上是中性的。在这里,我们通过计算中性和非中性突变破坏的 PPI 的分数来估计人类相互作用组中的可有可无的内容。从实验确定的人类参考相互作用组开始,我们通过构建 PPI 的基于同源的三维结构模型来构建人类结构相互作用组。接下来,我们将常见突变(来自健康个体)和孟德尔疾病引起的突变映射到人类结构相互作用组上,并进行基于结构的计算,以了解这些突变如何干扰相互作用组。使用我们预测的以及通过常见和疾病突变实验确定的相互作用组扰动模式,我们估计 <~20% 的人类相互作用组是完全可有可无的。