Moore Jonathan, Abdul-Manan Norzehan, Fejzo Jasna, Jacobs Marc, Lepre Christopher, Peng Jeffrey, Xie Xiaoling
Vertex Pharmaceuticals Incorporated, USA.
J Synchrotron Radiat. 2004 Jan 1;11(Pt 1):97-100. doi: 10.1107/s0909049503023975. Epub 2003 Nov 28.
In the last several years, NMR strategies in drug discovery have evolved from a primarily structural focus to a set of technologies that are non-structural in nature but that have a much greater impact on the identification and optimization of real drug leads. NMR-based screening methods, such as the SHAPES strategy, help rapidly identify good starting points for drug design in a relatively high throughput implementation. The SHAPES method uses simple NMR techniques to detect binding of a limited, but diverse library of low molecular weight, soluble compounds to a potential drug target. SHAPES library compounds are derived largely from molecular frameworks most commonly found in known therapeutic agents. The NMR experiments used in these protocols are based on the well-known NMR techniques, and may be applied to targets with no limitation on molecular weight and no requirement for isotope labeling. Following screening, SHAPES hits may be used to guide virtual screening, synthesis of combinatorial libraries, and bias the first compounds that undergo high throughput screening. Integration of the SHAPES strategy with iterative X-ray crystallographic structure determination can be very useful in deriving an initial structural pharmacophore model and achieving significant in vitro potency in a short time frame. Here, examples are provided of how the combination of NMR SHAPES screening, virtual screening, molecular modeling and X-ray crystallography has led to novel drug scaffolds in several drug discovery programs: JNK3 MAP kinase and the fatty acid binding protein, aP2.
在过去几年中,药物研发中的核磁共振(NMR)策略已从主要关注结构,演变为一系列本质上非结构性但对真正药物先导物的识别和优化有更大影响的技术。基于NMR的筛选方法,如SHAPES策略,有助于在相对高通量的实施过程中快速确定药物设计的良好起点。SHAPES方法使用简单的NMR技术来检测有限但多样的低分子量可溶性化合物文库与潜在药物靶点的结合。SHAPES文库化合物主要源自已知治疗药物中最常见的分子框架。这些方案中使用的NMR实验基于众所周知的NMR技术,可应用于对分子量无限制且无需同位素标记的靶点。筛选后,SHAPES命中物可用于指导虚拟筛选、组合文库的合成,并使首批进行高通量筛选的化合物产生偏向性。将SHAPES策略与迭代X射线晶体学结构测定相结合,对于推导初始结构药效团模型并在短时间内实现显著的体外效力非常有用。在此,提供了一些示例,说明NMR SHAPES筛选、虚拟筛选、分子建模和X射线晶体学的组合如何在多个药物研发项目中产生新型药物支架:JNK3丝裂原活化蛋白激酶和脂肪酸结合蛋白aP2。