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What determines the van der Waals coefficient beta in the LIE (linear interaction energy) method to estimate binding free energies using molecular dynamics simulations?

机译:是什么决定了使用分子动力学模拟通过LIE(线性相互作用能)方法估算结合自由能的范德华系数β?

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Recently a semiempirical method has been proposed by Aqvist et al. to calculate absolute and relative binding free energies. In this method, the absolute binding free energy of a ligand is estimated as deltaGbind = alpha + beta, where Vel(bound) and Vvdw(bound) are the electrostatic and van der Waals interaction energies between the ligand and the solvated protein from an molecular dynamics (MD) trajectory with ligand bound to protein and Vel(free) and Vel(free) and Vvdw(free) are the electrostatic and van der Waals interaction energies between the ligand and the water from an MD trajectory with the ligand in water. A set of values, alpha = 0.5 and beta = 0.16, was found to give results in good agreement with experimental data. Later, however, different optimal values of beta were found in studies of compounds binding to P450cam and avidin. The present work investigates how the optimal value of beta depends on the nature of binding sites for different protein-ligand interactions. By examining seven ligands interacting with five proteins, we have discovered a linear correlation between the value of beta and the weighted non-polar desolvation ratio (WNDR), with a correlation coefficient of 0.96. We have also examined the ability of this correlation to predict optimal values of beta for different ligands binding to a single protein. We studied twelve neutral compounds bound to avidin. In this case, the WNDR approach gave a better estimate of the absolute binding free energies than results obtained using the fixed value of beta found for biotin-avidin. In terms of reproducing the relative binding free energy to biotin, the fixed-beta value gave better results for compounds similar to biotin, but for compounds less similar to biotin, the WNDR approach led to better relative binding free energies.
机译:最近,Aqvist等人提出了一种半经验方法。计算绝对和相对结合自由能。在这种方法中,配体的绝对结合自由能估计为deltaGbind = alpha + beta ,其中Vel(结合)和Vvdw (受约束的)是分子与配体结合的分子动力学(MD)轨迹中配体与溶剂化蛋白之间的静电和范德华相互作用能,Vel(f​​ree)和Vel(f​​ree)和Vvdw(free)是静电MD轨迹与配体在水中的配体与水之间的范德华相互作用能。发现一组值α= 0.5和β= 0.16与实验数据具有很好的一致性。但是,后来在与P450cam和抗生物素蛋白结合的化合物的研究中发现了不同的最佳β值。本工作研究β的最佳值如何取决于不同蛋白质-配体相互作用的结合位点的性质。通过检查与五个蛋白质相互作用的七个配体,我们发现β值与加权非极性去溶剂比率(WNDR)之间存在线性相关,相关系数为0.96。我们还检查了这种相关性的能力,以预测针对与单个蛋白质结合的不同配体的最佳β值。我们研究了十二种与抗生物素蛋白结合的中性化合物。在这种情况下,与使用生物素-亲和素的固定β值得到的结果相比,WNDR方法可以更好地估计绝对结合自由能。就再生与生物素的相对结合自由能而言,固定的β值对于类似于生物素的化合物给出了更好的结果,但是对于与生物素不太相似的化合物,WNDR方法导致了更好的相对结合自由能。

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