Samsonov Sergey A
Laboratory of Molecular Modeling, Department of Theoretical Chemistry, Faculty of Chemistry , University of Gdańsk, Gdansk, Poland.
Methods Mol Biol. 2018;1762:445-454. doi: 10.1007/978-1-4939-7756-7_22.
Glycosaminoglycans (GAGs) are a class of anionic linear periodic polysaccharides, which play a key role in many cell signaling related processes via interactions with their protein targets. In silico analysis and, in particular, application of molecular docking approaches to these systems still experience many challenges including the need of proper treatment of solvent, which is crucial for protein-GAG interactions. Here, we describe two methods which we developed, to include solvent in the docking studies of protein-GAG systems: the first one allows to de novo predict favorable positions of water molecules as a part of a rigid receptor to be used for further molecular docking; the second one utilizes targeted molecular dynamics in explicit solvent for molecular docking.
糖胺聚糖(GAGs)是一类阴离子线性周期性多糖,它们通过与蛋白质靶点相互作用,在许多细胞信号相关过程中发挥关键作用。计算机分析,尤其是将分子对接方法应用于这些系统,仍然面临许多挑战,包括对溶剂进行适当处理的必要性,这对蛋白质 - GAG相互作用至关重要。在这里,我们描述了我们开发的两种方法,以便在蛋白质 - GAG系统的对接研究中纳入溶剂:第一种方法允许从头预测水分子作为刚性受体的一部分的有利位置,以用于进一步的分子对接;第二种方法在显式溶剂中利用靶向分子动力学进行分子对接。