Published October 20, 2020 | Version v1

Machine learning simulation data

Authors/Creators

  • 1. University of Science and Technology of China

Description

README.md

This project "A Machine Learning Protocol for Predicting Protein Infrared Spectra" was supported by Prof. Shaul Mukamel(the University of California, Irvine), Prof. Jonathan D. Hirst(University of Nottingham),and Prof.Jun Jiang(University of Science and Technology of China).

Simulation data and code of ML protocl for IR spectra of proteins.

Any researchers who interested in protein spectroscopy can use our ML protcol online service: http://dcaiku.com:12880/platform/first

For the simulation data which including: 
1.    optimization_M06L_b3lyp.tar: ab initio molecular dynamics (AIMD) trajectory and quantum mechanics (QM) data with full input and output files for N-methylacetamide (NMA) ;
2.    CCPVDZ-coupling.tar:QM data with full input and output files for N-acetyl-glycine-N'-methylamide (GLDP); 
3.    MD_protein_2.tar: MD trajectory for 12 proteins with different temperatures;
4.    trp-cage.tgz: MD trajectory for trp-cage;

Files

Files (6.7 GB)

Name Size
md5:501d0c4dace1ca15ebad6df3ec93c166
3.0 GB Download
md5:1941bb3daa586770be37f31896397f99
1.6 GB Download
md5:fa9f5ba66269ce8312cd0e0c9ae0e4b2
2.0 GB Download
md5:5e145e69e7bfdd3b3ea25c0bd6dad8a9
41.7 MB Download