Department of Biochemistry & Molecular Biology, Colorado State University , Fort Collins, Colorado 80523-1870, United States.
J Med Chem. 2016 Mar 10;59(5):1655-70. doi: 10.1021/acs.jmedchem.5b00997. Epub 2015 Oct 21.
The use of halogens in therapeutics dates back to the earliest days of medicine when seaweed was used as a source of iodine to treat goiters. The incorporation of halogens to improve the potency of drugs is now fairly standard in medicinal chemistry. In the past decade, halogens have been recognized as direct participants in defining the affinity of inhibitors through a noncovalent interaction called the halogen bond or X-bond. Incorporating X-bonding into structure-based drug design requires computational models for the anisotropic distribution of charge and the nonspherical shape of halogens, which lead to their highly directional geometries and stabilizing energies. We review here current successes and challenges in developing computational methods to introduce X-bonding into lead compound discovery and optimization during drug development. This fast-growing field will push further development of more accurate and efficient computational tools to accelerate the exploitation of halogens in medicinal chemistry.
卤素在治疗中的应用可以追溯到医学的早期,当时海藻被用作碘的来源来治疗甲状腺肿。现在,在药物化学中,卤素的结合以提高药物的效力是相当标准的。在过去的十年中,卤素已被认为是通过称为卤键或 X 键的非共价相互作用直接参与定义抑制剂亲和力的参与者。将 X 键合纳入基于结构的药物设计需要计算模型来描述电荷的各向异性分布和卤素的非球形形状,这导致它们具有高度定向的几何形状和稳定的能量。在这里,我们回顾了在药物开发过程中引入 X 键合以发现和优化先导化合物的计算方法的当前成功和挑战。这个快速发展的领域将推动更准确和有效的计算工具的进一步发展,以加速卤素在药物化学中的应用。