Search Results for author: Joris Cadow

Found 5 papers, 3 papers with code

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

1 code implementation27 May 2020 Jannis Born, Matteo Manica, Joris Cadow, Greta Markert, Nil Adell Mill, Modestas Filipavicius, María Rodríguez Martínez

With the fast development of COVID-19 into a global pandemic, scientists around the globe are desperately searching for effective antiviral therapeutic agents.

Drug Discovery

PaccMann$^{RL}$: Designing anticancer drugs from transcriptomic data via reinforcement learning

no code implementations29 Aug 2019 Jannis Born, Matteo Manica, Ali Oskooei, Joris Cadow, Karsten Borgwardt, María Rodríguez Martínez

The generative process is optimized through PaccMann, a previously developed drug sensitivity prediction model to obtain effective anticancer compounds for the given context (i. e., transcriptomic profile).

reinforcement-learning reinforcement Learning

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