five

Nano-structured Hydrotrope-Caged Cytochrome c with Boosted Stability in Harsh Environments: A Molecular Insight

收藏
NIAID Data Ecosystem2026-05-01 收录
下载链接:
https://zenodo.org/record/7602239
下载链接
链接失效反馈
官方服务:
资源简介:
The input and main output files used for the paper "Nanostructured Hydrotropes Caged Cytochrome c with Boosted Stability in Harsh Environments: A Molecular Insights" are separated in the different tar files. Contents: 00_packmol : box built using PACKMOL package for ATP, IL and ATP_IL systems 01_Build_systems : parameters and input files for WAT, ATP, IL and ATP_IL systems 02_Minimization_Equilibration_RT : minimization and equilibration inputs, restarts and output files for WAT, ATP, IL and ATP_IL systems at 300K 03_Minimization_Equilibration_HT : minimization and equilibration inputs, restarts and output files for WAT, ATP, IL and ATP_IL systems at 363.15K 04_HTMD_Cytc_WAT_RT : HTMD input, restarts and output files for Cyt c + WAT system at 300K 05_HTMD_Cytc_ATP_RT : HTMD input, restarts and output files for Cyt c + ATP system at 300K 06_HTMD_Cytc_IL_RT : HTMD input, restarts and output files for Cyt c + IL system at 300K 07_HTMD_Cytc_ATP_IL_RT : HTMD input, restarts and output files for Cyt c + ATP_IL system at 300K 08_HTMD_Cytc_WAT_HT : HTMD input, restarts and output files for Cyt c + WAT system at 363.15K 09_HTMD_Cytc_ATP_HT : HTMD input, restarts and output files for Cyt c + ATP system at 363.15K 10_HTMD_Cytc_IL_HT : HTMD input, restarts and output files for Cyt c + IL system at 363.15K 11_HTMD_Cytc_ATP_IL_HT : HTMD input, restarts and output files for Cyt c + ATP_IL system at 363.15K 12_HTMD_MD_analysis_RT : Analysis raw data for Bayesian MSM, RDF, RMSD, RMSF, H-bonds and Secondary structure changes at 300K  13_HTMD_MD_analysis_HT : Analysis raw data for Bayesian MSM, RDF, RMSD, RMSF, H-bonds and Secondary structure changes at 363.15K  14_H2O_RT : Radial Distribution Function (RDF) data for simulations in explicit water and in absence of the protein Cyt c Notes: Each folder contains INFO.md with further detailed information on respective types of data.
创建时间:
2023-09-01
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