Department of Medicinal Chemistry, Institute of Pharmacology Polish Academy of Sciences, Smetna 12, 31-343 Krakow, Poland.
Bioorg Med Chem Lett. 2011 Nov 15;21(22):6816-9. doi: 10.1016/j.bmcl.2011.09.027. Epub 2011 Sep 14.
We introduce a new approach to the known concept of interaction profiles, based on Structural Interaction Fingerprints (SIFt), for precise and rapid binding site description. A set of scripts for batch generation and analysis of SIFt were prepared, and the implementation is computationally efficient and supports parallelization. It is based on a 9-digit binary interaction pattern that describes physical ligand-protein interactions in structures and models of ligand-protein complexes. The tool performs analysis and identifies binding site residues (crucial and auxiliary) and classifies interactions according to type (hydrophobic, aromatic, charge, polar, side chain, and backbone). It is convenient and easy to use, and gives manageable output data for both, interpretation and further processing. In the presented Letter, SIFts are applied to analyze binding sites in models of antagonist-5-HT7 receptor complexes and structures of cyclin dependent kinase 2-ligand complexes.
我们介绍了一种新的方法,基于结构相互作用指纹(SIFt)来描述已知的相互作用谱概念,用于精确和快速的结合位点描述。我们准备了一组用于 SIFt 批量生成和分析的脚本,该实现具有计算效率并且支持并行化。它基于 9 位二进制相互作用模式,描述了配体-蛋白质复合物结构和模型中的物理配体-蛋白质相互作用。该工具执行分析并识别结合位点残基(关键和辅助),并根据类型(疏水、芳香族、电荷、极性、侧链和骨架)对相互作用进行分类。它方便易用,并为解释和进一步处理提供了可管理的输出数据。在本文中,SIFt 被应用于分析拮抗剂-5-HT7 受体复合物模型和细胞周期蛋白依赖性激酶 2-配体复合物结构中的结合位点。