Search Results for author: Slim Said

Found 1 papers, 0 papers with code

Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning

no code implementations3 Dec 2020 Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Uğur Şahin, Karim Beguir

This suggests that combining leading protein design methods with modern deep reinforcement learning is a viable path for discovering a Covid-19 cure and may accelerate design of peptide-based therapeutics for other diseases.

reinforcement-learning

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