Suppr超能文献

大规模分析药物化学中的热力学特征:焓有利结合物是更好的开发选择吗?

Broad-scale analysis of thermodynamic signatures in medicinal chemistry: are enthalpy-favored binders the better development option?

机构信息

Institute of Pharmaceutical Chemistry, Philipps-University Marburg, Marbacher Weg 6, 35032 Marburg, Germany.

出版信息

Drug Discov Today. 2019 Apr;24(4):943-948. doi: 10.1016/j.drudis.2019.01.014. Epub 2019 Jan 29.

Abstract

Thermodynamic profiles of ligand binding, particularly enthalpically favored binding signatures, have been suggested as a criterion to support the decision-making process around which compounds to select for further optimization in drug development. The concept was enthusiastically taken up, but turned out to be too superficial, either because many aspects determining thermodynamic profiles are insufficiently appreciated or because it is difficult to compare such data on a global scale. The impact of water, changes in protonation states, along with buffer dependencies and incompatible measurement conditions that are far from standard conditions hamper such broad-scale comparisons. However, thermodynamic signatures can make us aware of the impact of these aspects and provide important hints for improving our understanding of the binding process and defining criteria for drug optimization.

摘要

配体结合的热力学特征,特别是焓有利的结合特征,已被建议作为支持药物开发中化合物选择决策的标准。这一概念受到了热烈的欢迎,但结果证明它过于肤浅,要么是因为许多决定热力学特征的方面没有得到充分的重视,要么是因为很难在全球范围内比较这些数据。水的影响、质子化状态的变化,以及缓冲依赖性和不兼容的测量条件,这些都与标准条件相差甚远,从而阻碍了这种大规模的比较。然而,热力学特征可以让我们意识到这些方面的影响,并为我们改善对结合过程的理解和定义药物优化标准提供重要的提示。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验