Department of Computer Science, National University of Singapore, 13 Computing Drive, 117417 Singapore.
J Proteome Res. 2011 Dec 2;10(12):5285-95. doi: 10.1021/pr200312e. Epub 2011 Nov 1.
Many biologically important protein-protein interactions (PPIs) have been found to be mediated by short linear motifs (SLiMs). These interactions are mediated by the binding of a protein domain, often with a nonlinear interaction interface, to a SLiM. We propose a method called D-SLIMMER to mine for SLiMs in PPI data on the basis of the interaction density between a nonlinear motif (i.e., a protein domain) in one protein and a SLiM in the other protein. Our results on a benchmark of 113 experimentally verified reference SLiMs showed that D-SLIMMER outperformed existing methods notably for discovering domain-SLiMs interaction motifs. To illustrate the significance of the SLiMs detected, we highlighted two SLiMs discovered from the PPI data by D-SLIMMER that are variants of the known ELM SLiM, as well as a literature-backed SLiM that is yet to be listed in the reference databases. We also presented a novel SLiM predicted by D-SLIMMER that was strongly supported by existing biological literatures. These examples showed that D-SLIMMER is able to find SLiMs that are biologically relevant.
许多具有生物学重要意义的蛋白质-蛋白质相互作用(PPIs)已被发现是由短线性基序(SLiMs)介导的。这些相互作用是通过蛋白质结构域的结合介导的,通常具有非线性相互作用界面,与 SLiM 结合。我们提出了一种称为 D-SLIMMER 的方法,基于一个蛋白质中的非线性基序(即蛋白质结构域)与另一个蛋白质中的 SLiM 之间的相互作用密度,从 PPI 数据中挖掘 SLiM。我们在 113 个经过实验验证的参考 SLiM 的基准测试中的结果表明,D-SLIMMER 在发现结构域-SLiM 相互作用基序方面明显优于现有方法。为了说明检测到的 SLiMs 的重要性,我们突出了 D-SLIMMER 从 PPI 数据中发现的两个 SLiM,它们是已知 ELM SLiM 的变体,以及一个在参考数据库中尚未列出的有文献支持的 SLiM。我们还展示了 D-SLIMMER 预测的一个新的 SLiM,它得到了现有生物学文献的强烈支持。这些例子表明,D-SLIMMER 能够找到具有生物学意义的 SLiMs。