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1° Amines to Diazonium or Aryldiazonium Salts: Diazotization with NaNO2 Overview

1° Amines to Diazonium or Aryldiazonium Salts: Diazotization with NaNO₂ Overview

Nitrous acid and nitric acids are two types of acids containing nitrogen, among which nitrous acid is weaker than nitric acid. Nitrous acid with a pKa value of 3.37 ionizes in water to give a nitrite ion and the hydronium ion.
The nitrous acid is unstable. Hence, it is formed in situ from a solution of sodium nitrite and cold aqueous acids such as hydrochloric or sulfuric acid. In an acidic solution, the –OH group of nitrous acid undergoes protonation to give oxonium ion, followed by...

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Updated: Jun 12, 2025

Preparation of Naringenin Solution for In Vivo Application

Preparation of Naringenin Solution for In Vivo Application

Published on: August 10, 2021

在NAMD上倾注SIRAH.

Jorge Cantero^1,2, Andrés Ballesteros-Casallas^1,3, Lucianna H S Santos³

¹Área Bioinformática, Departamento DETEMA, Facultad de Química, Universidad de la República, General Flores 2124, Montevideo 11600, Uruguay.

The journal of physical chemistry. B

|September 25, 2024

概括

这项研究表明,粗的SIRAH力场与NAMD分子动力学 (MD) 软件一起工作,包括其GPU加速版本. 这提高了复杂生物分子系统的模拟效率.

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Last Updated: Jun 12, 2025

Preparation of Naringenin Solution for In Vivo Application

Preparation of Naringenin Solution for In Vivo Application

Published on: August 10, 2021

Hydrophobic Salt-modified Nafion for Enzyme Immobilization and Stabilization

Hydrophobic Salt-modified Nafion for Enzyme Immobilization and Stabilization

Published on: July 11, 2012

Synthesis of High Purity Nonsymmetric Dialkylphosphinic Acid Extractants

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Published on: October 19, 2017

科学领域:

计算生物学计算生物学
生物物理学的生物物理.
分子建模分子建模

背景情况:

分子动力学 (MD) 模拟对于在原子分辨率下研究生物分子动力学至关重要.
力量场和软件兼容性问题可能会阻碍模拟的互操作性和可转移性.

研究的目的:

用NAMD分子动力学引擎证明SIRAH力场的成功应用.
评估不同NAMD版本的SIRAH模拟的性能,包括GPU加速的NAMD3.

主要方法:

使用粗粒度的SIRAH力场. 使用粗粒度的SIRAH力场.
使用NAMD分子动力学引擎,利用其AMBER输入文件兼容性.
在使用NAMD2和NAMD3 (GPU加速) 的基准生物分子系统上进行模拟.

主要成果:

使用SIRAH与NAMD跨基准系统实现了成功和一致的模拟结果.
证明了SIRAH与NAMD的无集成,包括NAMD3.
在GPU加速硬件上观察到增强的模拟吞吐量.

结论:

SIRAH力场与NAMD有效兼容,扩大了其适用性.
利用NAMD和SIRAH的GPU计算显著提高了模拟效率.
这项工作使用现代高性能计算资源促进了先进的生物分子模拟.