Thaimattam Ram, Banerjee Rahul, Miglani Rajni, Iqbal Javed
Department of Molecular Modeling and Drug Design, Discovery Research, Bollaram Road, Miyapur, Hyderabad 500 049, India.
Curr Pharm Des. 2007;13(27):2751-65. doi: 10.2174/138161207781757042.
Protein kinases are involved in many diseases like cancer, inflammation, cardiovascular disease, and diabetes. They have become attractive target classes for drug development, making kinase inhibitors as important class of therapeutics. The success of small-molecule ATP-competitive kinase inhibitors such as Gleevec, Iressa, and Tarceva has attracted much attention in the recent past. Kinases make use of ATP for phosphorylation of a specific residue(s) on their protein substrates. More than 400 X-ray structures of about 70 different kinases are publicly available. These structures provide insights into selectivity and mechanisms of inhibition. However, prediction of binding specificity of kinase inhibitors based on structural information alone appears to be insufficient. Here, we will review these observations to gain insights into the rules that govern protein kinase inhibitor selectivity.
蛋白激酶与许多疾病相关,如癌症、炎症、心血管疾病和糖尿病。它们已成为药物研发中颇具吸引力的靶点类别,使激酶抑制剂成为一类重要的治疗药物。近年来,诸如格列卫、易瑞沙和特罗凯等小分子ATP竞争性激酶抑制剂的成功备受关注。激酶利用ATP对其蛋白质底物上的特定残基进行磷酸化。目前已公开约70种不同激酶的400多个X射线结构。这些结构为抑制剂的选择性和作用机制提供了见解。然而,仅基于结构信息预测激酶抑制剂的结合特异性似乎并不充分。在此,我们将回顾这些观察结果,以深入了解支配蛋白激酶抑制剂选择性的规则。