Department of Biological Sciences, Columbia University, 614 Fairchild Center, MC2406, 1212 Amsterdam Avenue, New York, NY 10027, USA.
Curr Opin Chem Biol. 2009 Dec;13(5-6):549-55. doi: 10.1016/j.cbpa.2009.08.003. Epub 2009 Sep 7.
Many disease genes encode proteins that are difficult to target directly using small molecule drugs. Improvements in libraries based on synthetic compounds, natural products, and other types of molecules may ultimately allow some challenging proteins to be successfully targeted; however, these developments alone are unlikely to be sufficient. A complementary strategy exploits the functional interconnectivity of intracellular networks to find druggable targets lying upstream, downstream, or in parallel to a disease-causing gene, where modulation can influence the disease process indirectly. These targets can be selected using prior knowledge of disease-associated pathways or identified using phenotypic chemical and genetic screens in model organisms and cells. These approaches should facilitate the identification of effective drug targets for many genetic disorders.
许多疾病基因编码的蛋白质很难用小分子药物直接靶向。基于合成化合物、天然产物和其他类型分子的文库的改进最终可能使一些具有挑战性的蛋白质得以成功靶向;然而,仅靠这些进展可能还不够。一种互补策略利用细胞内网络的功能相互连接性来寻找位于致病基因上游、下游或平行的可药物靶向目标,其中的调节可以间接影响疾病过程。这些目标可以使用与疾病相关途径的先验知识来选择,也可以使用模型生物和细胞中的表型化学和遗传筛选来识别。这些方法应该有助于确定许多遗传疾病的有效药物靶点。