Suppr超能文献

麻醉分子的分子力学参数化

Molecular Mechanics Parameterization of Anesthetic Molecules.

作者信息

Joseph Thomas T, Hénin Jérôme

机构信息

Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.

Laboratoire de Biochimie Théorique, Institut de Biologie Physico-Chimique, CNRS, Paris, France.

出版信息

Methods Enzymol. 2018;602:61-76. doi: 10.1016/bs.mie.2018.01.003. Epub 2018 Mar 2.

Abstract

Anesthetic drug molecules are being increasingly studied through the use of computational methods such as molecular dynamics (MD). Molecular mechanics force fields require the investigator to supply parameters for the force field equation, which are not available for novel molecules. Careful selection of these parameters is critical for simulations to produce meaningful results. Therefore, this chapter presents a state-of-the-art method for determining these parameters by comparison to quantum mechanics calculations and experimental quantities. Ketamine is used as an example to demonstrate the process.

摘要

麻醉药物分子正越来越多地通过分子动力学(MD)等计算方法进行研究。分子力学力场要求研究者为该力场方程提供参数,而这些参数对于新分子来说是不可用的。仔细选择这些参数对于模拟产生有意义的结果至关重要。因此,本章介绍了一种通过与量子力学计算和实验量进行比较来确定这些参数的最新方法。以氯胺酮为例来说明该过程。

相似文献

1
Molecular Mechanics Parameterization of Anesthetic Molecules.麻醉分子的分子力学参数化
Methods Enzymol. 2018;602:61-76. doi: 10.1016/bs.mie.2018.01.003. Epub 2018 Mar 2.

引用本文的文献

本文引用的文献

3
Rapid parameterization of small molecules using the Force Field Toolkit.使用力场工具包快速参数化小分子。
J Comput Chem. 2013 Dec 15;34(32):2757-70. doi: 10.1002/jcc.23422. Epub 2013 Sep 2.
7
General anesthetics predicted to block the GLIC pore with micromolar affinity.一般麻醉剂预计以微摩尔亲和力阻断 GLIC 孔。
PLoS Comput Biol. 2012 May;8(5):e1002532. doi: 10.1371/journal.pcbi.1002532. Epub 2012 May 31.
10
A unitary anesthetic binding site at high resolution.高分辨率下的单一麻醉剂结合位点。
J Biol Chem. 2009 Sep 4;284(36):24176-84. doi: 10.1074/jbc.M109.017814. Epub 2009 Jul 15.

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