Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA.
Protein Eng Des Sel. 2011 Oct;24(10):777-89. doi: 10.1093/protein/gzr036. Epub 2011 Jul 19.
Structural water molecules are found in many protein-ligand complexes. They are known to be vital in mediating hydrogen-bonding interactions and, in some cases, key for facilitating tight binding. It is thus very important to consider water molecules when attempting to model protein-ligand interactions for cognate ligand identification, virtual screening and drug design. While the rigid treatment of water molecules present in structures is feasible, the more relevant task of treating all possible positions and orientations of water molecules with each possible ligand pose is computationally daunting. Current methods in molecular docking provide partial treatment for such water molecules, with modest success. Here we describe a new method employing dead-end elimination to place water molecules within a binding site, bridging interactions between protein and ligand. Dead-end elimination permits a thorough, though still incomplete, treatment of water placement. The results show that this method is able to place water molecules correctly within known complexes and to create physically reasonable hydrogen bonds. The approach has also been incorporated within an inverse molecular design approach, to model a variety of compounds in the process of de novo ligand design. The inclusion of structural water molecules, combined with ranking based on the electrostatic contribution to binding affinity, improves a number of otherwise poor energetic predictions.
结构水分子存在于许多蛋白质-配体复合物中。已知它们在介导氢键相互作用方面至关重要,在某些情况下,对于促进紧密结合也是关键。因此,在尝试对蛋白质-配体相互作用进行建模以进行同源配体鉴定、虚拟筛选和药物设计时,考虑水分子非常重要。虽然可以对结构中存在的水分子进行刚性处理,但更相关的任务是用每个可能的配体构象处理所有可能的水分子位置和取向,这在计算上是令人生畏的。目前的分子对接方法对这些水分子提供了部分处理,取得了一定的成功。在这里,我们描述了一种新的方法,该方法采用死端消除来在结合位点内放置水分子,桥接蛋白质和配体之间的相互作用。死端消除允许对水分子的位置进行全面但仍不完全的处理。结果表明,该方法能够正确地将水分子放置在已知的复合物中,并产生物理合理的氢键。该方法还已被纳入反向分子设计方法中,以在从头设计配体的过程中模拟各种化合物。包含结构水分子,并基于对结合亲和力的静电贡献进行排序,可改善许多原本能量预测不佳的化合物。