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CogMol: Target-Specific and Selective Drug Design for COVID-19 Using
  Deep Generative Models

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models

2 April 2020
Vijil Chenthamarakshan
Payel Das
Samuel C. Hoffman
Hendrik Strobelt
Inkit Padhi
Kar Wai Lim
Benjamin Hoover
Matteo Manica
Jannis Born
Teodoro Laino
Aleksandra Mojsilović
ArXivPDFHTML

Papers citing "CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models"

4 / 4 papers shown
Title
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation
  Models
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy
Alexander Zhebrak
Benjamín Sánchez-Lengeling
Sergey Golovanov
Oktai Tatanov
...
Simon Johansson
Hongming Chen
Sergey I. Nikolenko
Alán Aspuru-Guzik
Alex Zhavoronkov
ELM
151
628
0
29 Nov 2018
Conditional molecular design with deep generative models
Conditional molecular design with deep generative models
Seokho Kang
Kyunghyun Cho
BDL
138
182
0
30 Apr 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,205
0
12 Feb 2018
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
152
1,748
0
02 Mar 2017
1