five

Emergence of the Robeson bound in non-equilibrium molecular dynamics simulations

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/14524821
下载链接
链接失效反馈
官方服务:
资源简介:
Dual Control Volume Molecular Dyanmics (DCVMD) OverView This repository contains all the necessary data and instructions to reproduce the results published in Yuan et al., "Emergence of the Robeson bound in non-equilibrium molecular dynamics simulations". It is structured to facilitate running simulations, performing analyses, and interpreting results effectively. Content The repository is organized into the following key directories: **`data/`**This folder includes all data files required for simulations and analyses. Key contents are: - **GROMACS Files**: MDP files for running simulations such as energy minimization, NPT, and NVT simulations.- **Poreblazer Files**: Includes necessary files to perform Poreblazer analyses. The folder contains three essential files (defaults.dat,  DREIDING.atoms,  input.dat). Edit them accordingly to perform the calculations you want. - **Polymer Files**: Contains data for eight different membranes, including:  - Forcefield files (`ff.itp`)  - Position files (`out.gro`, `out.xyz` (relaxed structure for Poreblazer calculation) )  - Poreblazer input file (`input.dat`)  - Poreblazer results, such as:    - `probe_occupiable_volume.xyz`    - `summary.dat`    - `Total_psd.txt` **`DCVMD/`**This folder includes a test case for the DCVMD method. Detailed instructions are provided to perform the test case on PIM-1. Simulations for other membranes can also be conducted using the data files available in the `data/` folder. Usage Instructions 1. For the PIM-1 test case, use the files in the `DCVMD/` folder as a starting point. The instructions there will guide you for an example DCVMD simulation. 2. For custom membrane simulations, refer to the data provided in the `data/Polymer/` folder. Replace the membrane geometry and forcefield files as necessary.
创建时间:
2025-02-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作