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Published September 4, 2022 | Version 1.0
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Datasets from "Electrostatic Embedding of Machine Learning potentials" article

  • 1. Universitat de València

Description

Data required to reproduce results in "Electrostatic embedding of machine learning potentials" article. See https://github.com/emedio/embedding for details.

  • QM7_B3LYP_cc-pVTZ.tgz - outputs of single point B3LYP/cc-pVTZ calculations of structures in QM7 dataset with ORCA 5. Include molecular dipolar polarizabilities.
  • QM7_B3LYP_cc-pVTZ_horton.tgz - MBIS partitioning of the B3LYP/cc-pVTZ densities with Horton 2.1.0.
  • mpro_xyz.tgz - coordinates of the ligand and surrounding point charges from 100 snapshots of SARS-CoV-2 Mpro complex with PF-00835231.
  • mpro_*.tgz - DFT and semiempirical single point calculations with ORCA 5 for the coordinates from mpro_xyz.tgz, in vacuo and in presence of point charges.

Files

Files (3.0 GB)

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md5:df347d8b923ac115e26de2ec5fe9a683
4.4 MB Download
md5:2750d8ae137743086df3da7c5381f99e
20.6 MB Download
md5:7764f4b2930dd68f1d3dc5d6d7f1bcd7
184.8 MB Download
md5:28ce2e97532b056009a0460079f0b014
20.0 MB Download
md5:29ffd40b5d0f9e0c08ae4d6a9f937309
23.5 MB Download
md5:42ace378500d337e3a34b6fdc5a0a698
4.5 MB Download
md5:7e7939d03b0c1d34474e8eb7cbc807f9
209.0 kB Download
md5:ddd1a034ef164dcefbfa0d100bf36d4f
4.1 MB Download
md5:82a88486ab6d760fb31bc08c01604465
152.3 MB Download
md5:18227eae27878a0a93912214267003f1
2.5 GB Download