Zinc Molecule Dataset from Constrained Graph Variational Autoencoders for Molecule Design
Liu, Qi and Allamanis, Miltiadis and Brockschmidt, Marc and Gaunt, Alexander L.

250k_rndm_zinc_drugs_clean.zip33.94MB
Type: Dataset
Tags: zinc, graph generation, molecule generation

Bibtex:
@article{liu2018constrained,
title= {Zinc Molecule Dataset from Constrained Graph Variational Autoencoders for Molecule Design},
author= {Liu, Qi and Allamanis, Miltiadis and Brockschmidt, Marc and Gaunt, Alexander L.},
journal= {The Thirty-second Conference on Neural Information Processing Systems},
year= {2018},
abstract= {ZINC is a free database of commercially-available compounds for virtual screening. ZINC contains over 230 million purchasable compounds in ready-to-dock, 3D formats. ZINC also contains over 750 million purchasable compounds you can search for analogs in under a minute. Sterling and Irwin, J. Chem. Inf. Model, 2015 http://pubs.acs.org/doi/abs/10.1021/acs.jcim.5b00559

This particular dataset comes from the paper Constrained Graph Variational Autoencoders for Molecule Design, Qi Liu, Miltiadis Allamanis, Marc Brockschmidt, Alexander L. Gaunt. },
keywords= {zinc, graph generation, molecule generation},
terms= {},
license= {},
superseded= {},
url= {https://github.com/Microsoft/constrained-graph-variational-autoencoder}
}

Hosted by users:

Send Feedback Start
   0.000006
DB Connect
   0.000513
Lookup hash in DB
   0.000913
Get torrent details
   0.000898
Get torrent details, finished
   0.000787
Get authors
   0.000066
Parse bibtex
   0.000504
Write header
   0.000621
get stars
   0.000426
home tab
   0.000601
render right panel
   0.000013
render ads
   0.000051
fetch current hosters
   0.000932
Done