Kormos Bethany L, Benitex Yulia, Baranger Anne M, Beveridge David L
Chemistry Department and Molecular Biophysics Program, Wesleyan University, Middletown, CT 06459, USA.
J Mol Biol. 2007 Aug 31;371(5):1405-19. doi: 10.1016/j.jmb.2007.06.003. Epub 2007 Jun 9.
An MM-GBSA computational protocol was used to investigate wild-type U1A-RNA and F56 U1A mutant experimental binding free energies. The trend in mutant binding free energies compared to wild-type is well-reproduced. Following application of a linear-response-like equation to scale the various energy components, the binding free energies agree quantitatively with observed experimental values. Conformational adaptation contributes to the binding free energy for both the protein and the RNA in these systems. Small differences in DeltaGs are the result of different and sometimes quite large relative contributions from various energetic components. Residual free energy decomposition indicates differences not only at the site of mutation, but throughout the entire protein. MM-GBSA and ab initio calculations performed on model systems suggest that stacking interactions may nearly, but not completely, account for observed differences in mutant binding affinities. This study indicates that there may be different underlying causes of ostensibly similar experimentally observed binding affinities of different mutants, and thus recommends caution in the interpretation of binding affinities and specificities purely by inspection.
采用MM-GBSA计算方法研究野生型U1A-RNA和F56 U1A突变体的实验结合自由能。与野生型相比,突变体结合自由能的趋势得到了很好的重现。应用类似线性响应的方程来缩放各种能量成分后,结合自由能与观察到的实验值在数量上一致。构象适应对这些系统中蛋白质和RNA的结合自由能都有贡献。ΔG的微小差异是由各种能量成分不同且有时相当大的相对贡献导致的。剩余自由能分解表明,差异不仅存在于突变位点,而且贯穿整个蛋白质。对模型系统进行的MM-GBSA和从头计算表明,堆积相互作用可能几乎但不能完全解释观察到的突变体结合亲和力差异。这项研究表明,不同突变体表面上相似的实验观察到的结合亲和力可能有不同的潜在原因,因此建议在仅通过检查来解释结合亲和力和特异性时要谨慎。