...
首页> 外文期刊>Future medicinal chemistry >Thermodynamics-based drug design: strategies for inhibiting protein-protein interactions.
【24h】

Thermodynamics-based drug design: strategies for inhibiting protein-protein interactions.

机译:基于热力学的药物设计:抑制蛋白质-蛋白质相互作用的策略。

获取原文
获取原文并翻译 | 示例

摘要

The inhibition of protein-protein interactions and their ensuing signaling processes play an increasingly important role in modern medicine. Small molecular-weight inhibitors that can be administered orally are the preferred approach but efficient strategies for developing them are not yet generally available. Due to the large size difference between the protein-protein interface and the small molecule, inhibitor interactions are expected to extend to only a small region of the interface. If this is the case, classical competitive inhibition may be hard to achieve. In addition, competitive inhibition wastes binding energy that can be effectively used to inhibit signaling. The best and most energy-efficient approach would be the development of small molecules that bind at the protein-protein interface and inhibit the signaling process without displacing the protein ligand. This approach seems feasible knowing that the binding energy is not evenly distributed within the binding interface but concentrated in discrete hotspots, and that the initiation of signaling may not overlap with those hotspots. We outline a general protein-protein inhibition model that extends from competitive to noncompetitive scenarios and apply it to the development of HIV-1 gp120-CD4 inhibitors. This rigorous model can be easily applied to the analysis of protein-protein inhibition data and used as a tool in the optimization of inhibitor molecules.
机译:在现代医学中,蛋白质间相互作用的抑制及其随后的信号传导过程起着越来越重要的作用。可以口服施用的小分子量抑制剂是优选的方法,但是开发它们的有效策略尚不普遍。由于蛋白质-蛋白质界面和小分子之间的大小差异较大,因此预期抑制剂相互作用只会扩展到界面的一小部分。如果是这种情况,经典的竞争抑制可能很难实现。另外,竞争性抑制浪费了可有效用于抑制信号传导的结合能。最好,最节能的方法是开发在蛋白质-蛋白质界面结合并抑制信号传导过程而不置换蛋白质配体的小分子。知道结合能不是均匀地分布在结合界面内而是集中在离散的热点上,并且信号的发起可能不会与那些热点重叠,这种方法似乎是可行的。我们概述了一般的蛋白质-蛋白质抑制模型,该模型可从竞争情景扩展到非竞争情景,并将其应用于HIV-1 gp120-CD4抑制剂的开发。这种严格的模型可以轻松地应用于蛋白质-蛋白质抑制数据的分析,并可以用作优化抑制剂分子的工具。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号