Janin Joël, Rodier Francis, Chakrabarti Pinak, Bahadur Ranjit P
Laboratoire d'Enzymologie et de Biochimie Structurales, UPR9063, CNRS, 91198 Gif-sur-Yvette, France.
Acta Crystallogr D Biol Crystallogr. 2007 Jan;63(Pt 1):1-8. doi: 10.1107/S090744490603575X. Epub 2006 Dec 13.
Crystal structures deposited in the Protein Data Bank illustrate the diversity of biological macromolecular recognition: transient interactions in protein-protein and protein-DNA complexes and permanent assemblies in homodimeric proteins. The geometric and physical chemical properties of the macromolecular interfaces that may govern the stability and specificity of recognition are explored in complexes and homodimers compared with crystal-packing interactions. It is found that crystal-packing interfaces are usually much smaller; they bury fewer atoms and are less tightly packed than in specific assemblies. Standard-size interfaces burying 1200-2000 A2 of protein surface occur in protease-inhibitor and antigen-antibody complexes that assemble with little or no conformation changes. Short-lived electron-transfer complexes have small interfaces; the larger size of the interfaces observed in complexes involved in signal transduction and homodimers correlates with the presence of conformation changes, often implicated in biological function. Results of the CAPRI (critical assessment of predicted interactions) blind prediction experiment show that docking algorithms efficiently and accurately predict the mode of assembly of proteins that do not change conformation when they associate. They perform less well in the presence of large conformation changes and the experiment stimulates the development of novel procedures that can handle such changes.
蛋白质 - 蛋白质和蛋白质 - DNA复合物中的瞬时相互作用以及同二聚体蛋白质中的永久组装。与晶体堆积相互作用相比,在复合物和同二聚体中探索了可能决定识别稳定性和特异性的大分子界面的几何和物理化学性质。发现晶体堆积界面通常要小得多;与特定组装相比,它们掩埋的原子更少,堆积也更松散。掩埋1200 - 2000 Ų蛋白质表面的标准尺寸界面出现在蛋白酶 - 抑制剂和抗原 - 抗体复合物中,这些复合物组装时几乎没有构象变化。短寿命电子转移复合物具有小界面;在涉及信号转导的复合物和同二聚体中观察到的较大界面尺寸与构象变化的存在相关,构象变化通常与生物学功能有关。CAPRI(预测相互作用的关键评估)盲预测实验结果表明,对接算法能够高效且准确地预测在结合时不发生构象变化的蛋白质的组装模式。在存在大的构象变化时,它们的表现较差,并且该实验刺激了能够处理此类变化的新方法的发展。