Noy Efrat, Tabakman Tal, Goldblum Amiram
Department of Medicinal Chemistry and the David R. Bloom Center for Pharmacy, School of Pharmacy, The Hebrew University of Jerusalem, Israel 91120.
Proteins. 2007 Aug 15;68(3):702-11. doi: 10.1002/prot.21437.
We investigate the extent to which ensembles of flexible fragments (FF), generated by our loop conformational search method, include conformations that are near experimental and reflect conformational changes that these FFs undergo when binary protein-protein complexes are formed. Twenty-eight FFs, which are located in protein-protein interfaces and have different conformations in the bound structure (BS) and unbound structure (UbS) were extracted. The conformational space of these fragments in the BS and UbS was explored with our method which is based on the iterative stochastic elimination (ISE) algorithm. Conformational search of BSs generated bound ensembles and conformational search of UbSs produced unbound ensembles. ISE samples conformations near experimental (less than 1.05 A root mean square deviation, RMSD) for 51 out of the 56 examined fragments in the bound and unbound ensembles. In 14 out of the 28 unbound fragments, it also samples conformations within 1.05 A from the BS in the unbound ensemble. Sampling the bound conformation in the unbound ensemble demonstrates the potential biological relevance of the predicted ensemble. The 10 lowest energy conformations are the best choice for docking experiments, compared with any other 10 conformations of the ensembles. We conclude that generating conformational ensembles for FFs with ISE is relevant to FF conformations in the UbS and BS. Forming ensembles of the isolated proteins with our method prior to docking represents more comprehensively their inherent flexibility and is expected to improve docking experiments compared with results obtained by docking only UbSs.
我们研究了通过我们的环构象搜索方法生成的柔性片段(FF)集合在多大程度上包含接近实验值的构象,并反映了这些FF在形成二元蛋白质-蛋白质复合物时所经历的构象变化。提取了位于蛋白质-蛋白质界面且在结合结构(BS)和未结合结构(UbS)中具有不同构象的28个FF。利用我们基于迭代随机消除(ISE)算法的方法探索了这些片段在BS和UbS中的构象空间。对BS进行构象搜索生成结合集合,对UbS进行构象搜索产生未结合集合。ISE对结合和未结合集合中56个检测片段中的51个采样到接近实验值(均方根偏差,RMSD小于1.05 Å)的构象。在28个未结合片段中的14个中,它还从未结合集合中采样到距离BS在1.05 Å以内的构象。在未结合集合中采样到结合构象证明了预测集合潜在的生物学相关性。与集合中的任何其他10个构象相比,10个最低能量构象是对接实验的最佳选择。我们得出结论,用ISE为FF生成构象集合与UbS和BS中的FF构象相关。在对接之前用我们的方法形成分离蛋白质的集合更全面地体现了它们固有的灵活性,并且与仅对接UbS所获得的结果相比,预计能改进对接实验。