Franceschi François, Duffy Erin M
Rib-X Pharmaceuticals, Inc., 300 George Street, Suite 301, New Haven, CT 06511, USA.
Biochem Pharmacol. 2006 Mar 30;71(7):1016-25. doi: 10.1016/j.bcp.2005.12.026. Epub 2006 Jan 26.
The high-resolution structures of the bacterial ribosomal subunits and those of their complexes with antibiotics have advanced significantly our understanding of small-molecule interactions with RNA. The wealth of RNA structural data generated by these structures has allowed computational chemists to employ a drug discovery paradigm focused on RNA-based targets. The structures also show how target-based resistance affects antibiotics acting at the level of the ribosome. Not only are the sites pinpointed where different classes of antibiotics inhibit protein synthesis, but their orientations, relative dispositions, and unique mechanisms of action are also revealed at the atomic level. Both the 30S and the 50S ribosomal subunits have been shown to be "targets of targets", offering several adjacent, functionally relevant binding pockets for antibiotics. It is the detailed knowledge of these validated locations, or ribofunctional loci, plus the mapping of the resistance hot-spots that allow the rational design of next-generation antibacterials. When the structural information is combined with a data-driven computational toolkit able to describe and predict molecular properties appropriate for bacterial cell penetration and drug-likeness, a structure-based drug design approach for novel antibacterials shows great promise.
细菌核糖体亚基及其与抗生素复合物的高分辨率结构,极大地增进了我们对小分子与RNA相互作用的理解。这些结构所产生的丰富RNA结构数据,使计算化学家能够采用专注于基于RNA靶点的药物发现模式。这些结构还展示了基于靶点的耐药性如何影响作用于核糖体水平的抗生素。不仅确定了不同类抗生素抑制蛋白质合成的位点,而且在原子水平上揭示了它们的取向、相对位置以及独特的作用机制。30S和50S核糖体亚基均已被证明是“靶点的靶点”,为抗生素提供了几个相邻的、功能相关的结合口袋。正是对这些经过验证的位置(即核糖功能位点)的详细了解,加上耐药热点的图谱,使得下一代抗菌药物的合理设计成为可能。当结构信息与能够描述和预测适合细菌细胞渗透及类药性的分子特性的数据驱动计算工具相结合时,基于结构的新型抗菌药物设计方法显示出巨大的前景。