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Title: PaccMann | PaccMann enables the design of small molecules using a multimodal deep generative architecture. The system has been computationally validated on designing anticancer compounds from transcriptomic profiles.

Open Graph Title: PaccMann

X Title: PaccMann

Description: PaccMann enables the design of small molecules using a multimodal deep generative architecture. The system has been computationally validated on designing anticancer compounds from transcriptomic profiles.

Open Graph Description: PaccMann enables the design of small molecules using a multimodal deep generative architecture. The system has been computationally validated on designing anticancer compounds from transcriptomic profiles.

Mail addresses
tte@zurich.ibm.com, jab@zurich.ibm.com, dow@zurich.ibm.com

Opengraph URL: /

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direct link

Domain: paccmann.github.io

Hey, it has json ld scripts: 
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Links:

PaccMannhttps://paccmann.github.io/
Abouthttps://paccmann.github.io/about/
full paperhttps://arxiv.org/abs/1909.05114
herehttps://github.com/PaccMann/paccmann_rl
pytodahttps://github.com/PaccMann/paccmann_datasets
paccmann_predictorhttps://github.com/PaccMann/paccmann_predictor
our previous paperhttps://pubs.acs.org/doi/full/10.1021/acs.molpharmaceut.9b00520
paccmann_omicshttps://github.com/PaccMann/paccmann_omics
paccmann_chemistryhttps://github.com/PaccMann/paccmann_chemistry
paccmann_generatorhttps://github.com/PaccMann/paccmann_generator
Unbiased moleculeshttps://paccmann.github.io/rl/unbiased
breast cancerhttps://paccmann.github.io/rl/breast.html
prostate cancerhttps://paccmann.github.io/rl/prostate.html
lung cancerhttps://paccmann.github.io/rl/lung.html
autonomic_gangliahttps://paccmann.github.io/rl/autonomic_ganglia.html
TMAPhttps://chemrxiv.org/articles/Visualization_of_Very_Large_High-Dimensional_Data_Sets_as_Minimum_Spanning_Trees/9698861/1
PaccMannhttps://github.com/PaccMann
IBMResearchhttps://www.twitter.com/IBMResearch

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