Energy penalties enhance flexible receptor docking in a model cavity

A. S. Kamenik, I. Singh, P. Lak, T. E. Balius, K. Liedl, B. Shoichet
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引用次数: 11

Abstract

Significance The dynamic nature of biomolecules is typically neglected in docking screens for ligand discovery. The key to benefitting from various receptor conformations is not only structural but also thermodynamic information. Here, we test a general approach that uses conformational preferences from enhanced and conventional molecular dynamics simulations to account for the cost of transitions to high-energy states. Including this information as a conformational penalty term in a docking, scoring function, we perform retrospective and prospective screens and experimentally confirm predicted ligands with Tm upshift and X-ray crystallography. This not only allows us to test the predicted ligands for binding, it also tests whether they bind to the conformation of the binding site for which they were predicted. Protein flexibility remains a major challenge in library docking because of difficulties in sampling conformational ensembles with accurate probabilities. Here, we use the model cavity site of T4 lysozyme L99A to test flexible receptor docking with energy penalties from molecular dynamics (MD) simulations. Crystallography with larger and smaller ligands indicates that this cavity can adopt three major conformations: open, intermediate, and closed. Since smaller ligands typically bind better to the cavity site, we anticipate an energy penalty for the cavity opening. To estimate its magnitude, we calculate conformational preferences from MD simulations. We find that including a penalty term is essential for retrospective ligand enrichment; otherwise, high-energy states dominate the docking. We then prospectively docked a library of over 900,000 compounds for new molecules binding to each conformational state. Absent a penalty term, the open conformation dominated the docking results; inclusion of this term led to a balanced sampling of ligands against each state. High ranked molecules were experimentally tested by Tm upshift and X-ray crystallography. From 33 selected molecules, we identified 18 ligands and determined 13 crystal structures. Most interesting were those bound to the open cavity, where the buried site opens to bulk solvent. Here, highly unusual ligands for this cavity had been predicted, including large ligands with polar tails; these were confirmed both by binding and by crystallography. In docking, incorporating protein flexibility with thermodynamic weightings may thus access new ligand chemotypes. The MD approach to accessing and, crucially, weighting such alternative states may find general applicability.
能量惩罚增强弹性受体对接在一个模型腔
在配体发现的对接筛选中,生物分子的动态特性通常被忽视。从各种受体构象中获益的关键不仅是结构信息,而且是热力学信息。在这里,我们测试了一种通用方法,该方法使用来自增强和传统分子动力学模拟的构象偏好来解释向高能态转变的成本。将这些信息作为对接、评分函数中的构象惩罚项,我们进行了回顾性和前瞻性筛选,并通过Tm上移和x射线晶体学实验证实了预测的配体。这不仅使我们能够测试预测的配体的结合,还可以测试它们是否与预测的结合位点的构象结合。蛋白质的灵活性仍然是库对接的主要挑战,因为难以准确地采样构象集合的概率。在这里,我们使用T4溶菌酶L99A的模型腔位来测试柔性受体对接与分子动力学(MD)模拟的能量惩罚。配体大小的晶体学表明,该空腔可以采用三种主要构象:开放、中间和封闭。由于较小的配体通常与空腔部位结合更好,我们预计空腔打开的能量损失。为了估计其大小,我们从MD模拟中计算构象偏好。我们发现,包括惩罚项是必要的追溯配体富集;否则,高能态将主导对接。然后,我们前瞻性地对接了一个超过90万种化合物的文库,以寻找与每种构象状态结合的新分子。没有罚项时,开放构象主导对接结果;这一项的包含导致了配体对每个状态的平衡采样。利用Tm上移和x射线晶体学对高阶分子进行了实验检测。从33个选定的分子中,我们鉴定了18个配体,确定了13个晶体结构。最有趣的是那些与开放腔相连的,在那里,埋藏的地方向散装溶剂开放。在这里,预测了这个空腔中非常不寻常的配体,包括具有极性尾部的大型配体;这些都被结合和晶体学证实了。在对接中,将蛋白质的灵活性与热力学权重结合起来,可能会获得新的配体化学型。MD方法访问和(至关重要的)加权这些可选状态可能具有普遍适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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