Institute of Pharmacy, Martin Luther University of Halle-Wittenberg, Kurt-Mothes-Str.3, 06120, Halle/Saale, Germany.
J Comput Aided Mol Des. 2021 Jun;35(6):695-706. doi: 10.1007/s10822-021-00391-9. Epub 2021 Jun 3.
Some of the main challenges faced in drug discovery are pocket flexibility and binding mode prediction. In this work, we explored the aromatic cage flexibility of the histone methyllysine reader protein Spindlin1 and its impact on binding mode prediction by means of in silico approaches. We first investigated the Spindlin1 aromatic cage plasticity by analyzing the available crystal structures and through molecular dynamic simulations. Then we assessed the ability of rigid docking and flexible docking to rightly reproduce the binding mode of a known ligand into Spindlin1, as an example of a reader protein displaying flexibility in the binding pocket. The ability of induced fit docking was further probed to test if the right ligand binding mode could be obtained through flexible docking regardless of the initial protein conformation. Finally, the stability of generated docking poses was verified by molecular dynamic simulations. Accurate binding mode prediction was obtained showing that the herein reported approach is a highly promising combination of in silico methods able to rightly predict the binding mode of small molecule ligands in flexible binding pockets, such as those observed in some reader proteins.
药物发现中面临的一些主要挑战是口袋的灵活性和结合模式预测。在这项工作中,我们通过计算方法探索了组蛋白甲基赖氨酸读取蛋白 Spindlin1 的芳香笼灵活性及其对结合模式预测的影响。我们首先通过分析现有的晶体结构和分子动力学模拟来研究 Spindlin1 芳香笼的可塑性。然后,我们评估了刚性对接和柔性对接正确重现已知配体与 Spindlin1 结合模式的能力,Spindlin1 是在结合口袋中显示灵活性的读取蛋白的一个例子。进一步探讨了诱导契合对接的能力,以测试是否可以通过柔性对接获得正确的配体结合模式,而无需初始蛋白质构象。最后,通过分子动力学模拟验证了生成对接构象的稳定性。准确的结合模式预测表明,所报道的方法是一种很有前途的计算方法组合,能够正确预测小分子配体在一些读取蛋白中观察到的柔性结合口袋中的结合模式。