PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning-Reference-Cited by-同舟云学术

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PaccMannRL: De novo generation of hit-like anticancer molecules from transcriptomic data via reinforcement learning

Published:2021-04 Issue:4 Volume:24 Page:102269
ISSN:2589-0042
Container-title:iScience
language:en
Short-container-title:iScience

Author:

Born Jannis^ORCID,Manica Matteo^ORCID,Oskooei Ali,Cadow Joris^ORCID,Markert Greta^ORCID,Rodríguez Martínez María^ORCID

Funder

Deutscher Akademischer Austauschdienst

Horizon 2020

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference63 articles.

1. Randomized smiles strings improve the quality of molecular generative models;Arús-Pous;J. Cheminform.,2019

2. Smiles-based deep generative scaffold decorator for de-novo drug design;Arús-Pous;J. Cheminform.,2020

3. Latent Molecular Optimization for Targeted Therapeutic Design;Aumentado-Armstrong,2018

4. The ChEMBL bioactivity database: an update;Bento;Nucleic Acids Res.,2013

5. Quantifying the chemical beauty of drugs;Bickerton;Nat. Chem.,2012

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