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Protein-ligand binding enthalpies from near-millisecond simulations: Analysis of a preorganization paradox

机译:来自近毫秒模拟的蛋白质 - 配体结合焓:分析整氮悖论

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Calorimetric studies of protein-ligand binding sometimes yield thermodynamic data that are difficult to understand. Today, molecular simulations can be used to seek insight into such calorimetric puzzles, and, when simulations and experiments diverge, the results can usefully motivate further improvements in computational methods. Here, we apply near-millisecond duration simulations to estimate the relative binding enthalpies of four peptidic ligands with the Grb2 SH2 domain. The ligands fall into matched pairs, where one member of each pair has an added bond that preorganizes the ligand for binding and thus may be expected to favor binding entropically, due to a smaller loss in configurational entropy. Calorimetric studies have shown that the constrained ligands do in fact bind the SH2 domain more tightly than the flexible ones, but, paradoxically, the improvement in affinity for the constrained ligands is enthalpic, rather than entropic. The present enthalpy calculations yield the opposite trend, as they suggest that the flexible ligands bind more exothermically. Additionally, the small relative binding enthalpies are found to be balances of large differences in the energies of structural components such as ligand and the binding site residues. As a consequence, the deviations from experiment in the relative binding enthalpies represent small differences between these large numbers and hence may be particularly susceptible to error, due, for example, to approximations in the force field. We also computed first-order estimates of changes in configurational entropy on binding. These too are, arguably, paradoxical, as they tend to favor binding of the flexible ligands. The paradox is explained in part by the fact that the more rigid constrained ligands reduce the entropy of binding site residues more than their flexible analogs do, at least in the simulations. This result offers a rather general counterargument to the expectation that preorganized ligands should be a
机译:蛋白质 - 配体结合的量热研究有时产生难以理解的热力学数据。如今,分子模拟可用于寻求洞察这些量热难题,并且当模拟和实验发散时,结果可以有效地激励计算方法的进一步改进。在这里,我们应用近毫秒的持续时间模拟以估计与GRB2 SH2结构域的四种肽配体的相对结合焓。配体落入匹配的对,其中一体的一个成员具有加入的粘合剂,其将配体重结合结合,因此可以预期由于配置熵的较小损耗而预期有利于熵结合。量热研究表明,约束的配体实际上确实比柔性织物更紧密地结合,但是,矛盾的是,约束配体的亲和力的改善是焓,而不是熵。目前的焓计算产生相反的趋势,因为它们表明柔性配体更加放热粘合。另外,发现小相结合焓是结构组分如配体和结合位点残留物的余差的余地。因此,与实验中的实验中的实验中的偏差代表这些大数之间的小差异,因此可以特别容易受到误差,例如,在力场中的近似。我们还计算了在绑定上的配置熵的变化的一阶估计。这些也可以说,可以说明,因为它们倾向于有利于柔性配体的结合。悖论部分地解释:更刚性约束的配体至少在其柔性类似物中减少结合位点残留物的熵,至少在模拟中。该结果为预组合配体应该是一个相当普遍的反驳者

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