Published May 7, 2024 | Version v1
Dataset

GTP-in-Microtubule DFT Electron Density

  • 1. ROR icon California Institute of Technology

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 Download

Additional details

Created:
May 10, 2024
Modified:
May 10, 2024