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PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with
  conditional generative models

PaccMannRL^{RL}RL on SARS-CoV-2: Designing antiviral candidates with conditional generative models

27 May 2020
Jannis Born
Matteo Manica
Joris Cadow
Greta Markert
N. Mill
Modestas Filipavicius
María Rodríguez Martínez
ArXivPDFHTML

Papers citing "PaccMann$^{RL}$ on SARS-CoV-2: Designing antiviral candidates with conditional generative models"

3 / 3 papers shown
Title
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph
  Generative Models for Therapeutic Candidates
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates
Jenna A. Bilbrey
Logan T. Ward
Sutanay Choudhury
Neeraj Kumar
Ganesh Sivaraman
24
1
0
07 May 2021
Benchmarking Deep Graph Generative Models for Optimizing New Drug
  Molecules for COVID-19
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19
Logan T. Ward
Jenna A. Bilbrey
Sutanay Choudhury
Neeraj Kumar
Ganesh Sivaraman
GNN
27
3
0
09 Feb 2021
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
181
1,778
0
02 Mar 2017
1