Kastritis Panagiotis L, Rodrigues João P G L M, Folkers Gert E, Boelens Rolf, Bonvin Alexandre M J J
Bijvoet Center for Biomolecular Research, Faculty of Science, Department of Chemistry, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands.
Bijvoet Center for Biomolecular Research, Faculty of Science, Department of Chemistry, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands.
J Mol Biol. 2014 Jul 15;426(14):2632-52. doi: 10.1016/j.jmb.2014.04.017. Epub 2014 Apr 25.
Protein-protein complexes orchestrate most cellular processes such as transcription, signal transduction and apoptosis. The factors governing their affinity remain elusive however, especially when it comes to describing dissociation rates (koff). Here we demonstrate that, next to direct contributions from the interface, the non-interacting surface (NIS) also plays an important role in binding affinity, especially polar and charged residues. Their percentage on the NIS is conserved over orthologous complexes indicating an evolutionary selection pressure. Their effect on binding affinity can be explained by long-range electrostatic contributions and surface-solvent interactions that are known to determine the local frustration of the protein complex surface. Including these in a simple model significantly improves the affinity prediction of protein complexes from structural models. The impact of mutations outside the interacting surface on binding affinity is supported by experimental alanine scanning mutagenesis data. These results enable the development of more sophisticated and integrated biophysical models of binding affinity and open new directions in experimental control and modulation of biomolecular interactions.
蛋白质-蛋白质复合物协调着大多数细胞过程,如转录、信号转导和细胞凋亡。然而,决定它们亲和力的因素仍然难以捉摸,尤其是在描述解离速率(koff)时。在这里,我们证明,除了来自界面的直接贡献外,非相互作用表面(NIS)在结合亲和力中也起着重要作用,特别是极性和带电荷的残基。它们在NIS上的百分比在直系同源复合物中是保守的,这表明存在进化选择压力。它们对结合亲和力的影响可以通过已知能决定蛋白质复合物表面局部无序程度的长程静电作用和表面-溶剂相互作用来解释。将这些因素纳入一个简单模型中,可显著提高从结构模型预测蛋白质复合物亲和力的能力。相互作用表面之外的突变对结合亲和力的影响得到了实验性丙氨酸扫描诱变数据的支持。这些结果有助于开发更复杂、更综合的结合亲和力生物物理模型,并为生物分子相互作用的实验控制和调节开辟新的方向。