Suppr超能文献

药物结合的绝对自由能、焓和熵的计算。

Calculations of Absolute Free Energies, Enthalpies, and Entropies for Drug Binding.

机构信息

Department of Computer Science, University of New Orleans, New Orleans, Louisiana 70148, United States.

Department of Chemistry, University of New Orleans, New Orleans, Louisiana 70148, United States.

出版信息

J Chem Theory Comput. 2024 Apr 9;20(7):2812-2819. doi: 10.1021/acs.jctc.4c00057. Epub 2024 Mar 27.

Abstract

Computer simulation methods can aid in the rational design of drugs aimed at a specific target, typically a protein. The affinity of a drug for its target is given by the free energy of binding. Binding can be further characterized by the enthalpy and entropy changes in the process. Methods exist to determine exact free energies, enthalpies, and entropies that are dependent only on the quality of the potential model and adequate sampling of conformational degrees of freedom. Entropy and enthalpy are roughly an order of magnitude more difficult to calculate than the free energy. This project combines a replica exchange method for enhanced sampling, designed to be efficient for protein-sized systems, with free energy calculations. This approach, replica exchange with dynamical scaling (REDS), uses two conventional simulations at different temperatures so that the entropy can be found from the temperature dependence of the free energy. A third replica is placed between them, with a modified Hamiltonian that allows it to span the temperature range of the conventional replicas. REDS provides temperature-dependent data and aids in sampling. It is applied to the bromodomain-containing protein 4 (BRD4) system. We find that for the force fields used, the free energies are accurate but the entropies and enthalpies are not, with the entropic contribution being too positive. Reproducing the entropy and enthalpy of binding appears to be a more stringent test of the force fields than reproducing the free energy.

摘要

计算机模拟方法可以辅助针对特定目标(通常是蛋白质)的药物的合理设计。药物与目标的亲和力由结合的自由能给出。通过过程中的焓和熵变化可以进一步对结合进行特征描述。存在确定确切自由能、焓和熵的方法,这些方法仅取决于潜在模型的质量和构象自由度的充分采样。与自由能相比,熵和焓的计算难度大约高出一个数量级。该项目将增强采样的复制交换方法与自由能计算相结合。这种方法,复制交换与动态缩放(REDS),使用两个不同温度的常规模拟,以便从自由能对温度的依赖性中找到熵。在它们之间放置第三个副本,使用修改的哈密顿量,允许它跨越常规副本的温度范围。REDS 提供与温度相关的数据并有助于采样。它应用于含溴结构域蛋白 4(BRD4)系统。我们发现,对于使用的力场,自由能是准确的,但熵和焓不是,熵的贡献过于积极。与自由能相比,重现结合的熵和焓似乎是对力场的更严格测试。

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