Center for Bioinformatics and Department of Molecular Biosciences, University of Kansas, 2030 Becker Drive, Lawrence, KS 66047, USA.
Proc Natl Acad Sci U S A. 2012 Jun 12;109(24):9438-41. doi: 10.1073/pnas.1200678109. Epub 2012 May 29.
Traditional approaches to protein-protein docking sample the binding modes with no regard to similar experimentally determined structures (templates) of protein-protein complexes. Emerging template-based docking approaches utilize such similar complexes to determine the docking predictions. The docking problem assumes the knowledge of the participating proteins' structures. Thus, it provides the possibility of aligning the structures of the proteins and the template complexes. The progress in the development of template-based docking and the vast experience in template-based modeling of individual proteins show that, generally, such approaches are more reliable than the free modeling. The key aspect of this modeling paradigm is the availability of the templates. The current common perception is that due to the difficulties in experimental structure determination of protein-protein complexes, the pool of docking templates is insignificant, and thus a broad application of template-based docking is possible only at some future time. The results of our large scale, systematic study show that, surprisingly, in spite of the limited number of protein-protein complexes in the Protein Data Bank, docking templates can be found for complexes representing almost all the known protein-protein interactions, provided the components themselves have a known structure or can be homology-built. About one-third of the templates are of good quality when they are compared to experimental structures in test sets extracted from the Protein Data Bank and would be useful starting points in modeling the complexes. This finding dramatically expands our ability to model protein interactions, and has far-reaching implications for the protein docking field in general.
传统的蛋白质-蛋白质对接方法在进行对接预测时,不考虑蛋白质-蛋白质复合物的类似实验确定结构(模板)。新兴的基于模板的对接方法利用这些相似的复合物来确定对接预测。对接问题假设了参与蛋白质结构的知识。因此,它提供了对齐蛋白质和模板复合物结构的可能性。基于模板的对接的发展以及个体蛋白质基于模板建模的丰富经验表明,一般来说,这些方法比自由建模更可靠。这种建模范例的关键方面是模板的可用性。目前的普遍看法是,由于蛋白质-蛋白质复合物的实验结构确定存在困难,对接模板的数量微不足道,因此基于模板的对接的广泛应用只能在未来某个时候实现。我们的大规模、系统研究的结果表明,令人惊讶的是,尽管蛋白质数据库中蛋白质-蛋白质复合物的数量有限,但只要复合物的组成部分本身具有已知的结构,或者可以进行同源建模,就可以为几乎所有已知的蛋白质-蛋白质相互作用找到对接模板。在与从蛋白质数据库中提取的测试集中的实验结构进行比较时,大约三分之一的模板具有良好的质量,并且将成为建模复合物的有用起点。这一发现极大地扩展了我们建模蛋白质相互作用的能力,对蛋白质对接领域具有深远的影响。