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Found 3 papers, 2 papers with code
Utilizing Reinforcement Learning for de novo Drug Design
Deep learning-based approaches for generating novel drug molecules with specific properties have gained a lot of interest in the last few years.
Autonomous Drug Design with Multi-Armed Bandits
Recent developments in artificial intelligence and automation support a new drug design paradigm: autonomous drug design.
Generating Focussed Molecule Libraries for Drug Discovery with Recurrent Neural Networks
In de novo drug design, computational strategies are used to generate novel molecules with good affinity to the desired biological target.
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