GTP-in-Microtubule DFT Electron Density
Description
DFT electron density computed on molecular-dynamics-sampled geometries of GTP hydrolysis in microtubule proteins.
Data generated using the Gaussian Plane Waves DFT at the PBE/TZV2P/400Ry level by PySCF.
Each tar corresponds to one metadynamics run of GTP hydrolysis mediated by microtubule proteins. In each tar, each inter*.restart folder is one geometry sampled from MD, and in each folder,
rho_22.npy: DFT density in a.u.
grid_sizes_22.dat: shape of the density
energy_22.dat: DFT ground state energy in a.u.
box.dat: box size in angstrom
centered.xyz: geometry placed at the center of the box
Example of reading the density in Python:
import numpy as np
rho = np.load("rho_22.npy")
rho = rho.reshape(*np.loadtxt("grid_sizes_22.dat", dtype=int))
External Files
Files available via S3 at https://renc.osn.xsede.org/ini210004tommorrell/v5tec-g6p43/
seed.tar.gz, 6.8 GB Download w0.tar.gz, 16.9 GB Download w1.tar.gz, 14.5 GB Download w2.tar.gz, 15.0 GB Download w3.tar.gz, 13.5 GB Download w4.tar.gz, 12.4 GB Download w5.tar.gz, 11.8 GB Download w6.tar.gz, 11.0 GB Download w7.tar.gz, 11.1 GB Download w8.tar.gz, 14.1 GB Download w9.tar.gz, 13.2 GB DownloadAdditional details
- Available
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2024-05-07