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首页> 外文期刊>Journal of chemical information and modeling >Inclusion of Multiple Fragment Types in the Site Identification by Ligand Competitive Saturation (SILCS) Approach
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Inclusion of Multiple Fragment Types in the Site Identification by Ligand Competitive Saturation (SILCS) Approach

机译:通过配体竞争饱和(SILCS)方法在站点识别中包含多个片段类型

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摘要

The site identification by ligand competitive saturation (SILCS) method identifies the location and approximate affinities of small molecular fragments on a target macromolecular surface by performing molecular dynamics (MD) simulations of the target in an aqueous solution of small molecules representative of different chemical functional groups. In this study, we introduce a set of small molecules to map potential interactions made by neutral hydrogen bond donors and acceptors and charged donor and acceptor fragments in addition to nonpolar fragments. The affinity pattern is obtained in the form of discretized probability or, equivalently, free energy maps, called FragMaps, which can be visualized with the target surface. We performed SILCS simulations for four proteins for which structural and thermodynamic data is available for multiple diverse ligands. Good overlap is shown between high affinity regions identified by the FragMaps and the crystallographic positions of ligand functional groups with similar chemical functionality, thus demonstrating the validity of the qualitative information obtained from the simulations. To test the ability of FragMaps in providing quantitative predictions, we calculate the previously introduced ligand grid free energy (LGFE) metric and observe its correspondence with experimentally measured binding affinity. LGFE is computed for different conformational ensembles and improvement in prediction is shown with increasing ligand conformational sampling. Ensemble generation includes a Monte Carlo sampling approach that uses the GFE FragMaps directly as the energy function. The results show that some but not all experimental trends are predicted and warrant improvements in the scoring methodology. In addition, the potential utility of atom-based free energy contributions to the LGFE scores and the use of multiple ligands in SILCS to identify displaceable water molecules during ligand design are discussed.
机译:通过配体竞争饱和(SILCS)方法进行位点鉴定,通过在代表不同化学官能团的小分子水溶液中进行靶分子的分子动力学(MD)模拟,从而鉴定小分子片段在目标大分子表面上的位置和近似亲和力。在这项研究中,我们引入了一组小分子,以绘制由中性氢键供体和受体以及带电供体和受体片段以及非极性片段形成的潜在相互作用。亲和度模式以离散概率的形式获得,或者等效地称为自由能图,称为FragMaps,可以用目标表面可视化。我们对四种蛋白质进行了SILCS模拟,这些蛋白质的结构和热力学数据可用于多种多样的配体。在通过FragMaps识别的高亲和力区域和具有相似化学功能的配体官能团的晶体学位置之间显示出良好的重叠,从而证明了从模拟中获得的定性信息的有效性。为了测试FragMaps提供定量预测的能力,我们计算了先前引入的配体网格自由能(LGFE)指标,并观察了其与实验测量的结合亲和力的对应关系。针对不同的构象集合计算LGFE,并显示随着配体构象采样的增加,预测效果得到改善。集成生成包括蒙特卡洛采样方法,该方法直接使用GFE FragMaps作为能量函数。结果表明,可以预测部分但不是全部实验趋势,并且可以改进评分方法。此外,还讨论了基于原子的自由能对LGFE得分的潜在效用,以及在SILCS中使用多个配体来识别配体设计过程中的可置换水分子。

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