Published May 7, 2024 | Version v1
Dataset Open

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))

Files

Files (140.4 GB)

Name Size
6.8 GB (external) Download
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15.0 GB (external) Download
13.5 GB (external) Download
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11.0 GB (external) Download
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Additional details

Identifiers

Related works

Is documented by
Text: arXiv:2402.12335v1 (arXiv)

Dates

Available
2024-05-07