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Generative models for molecular discovery: Recent advances and challenges

WIREs Computational Molecular Science, 2022
Development of new products often relies on the discovery of novel molecules. While conventional molecular design involves using human expertise to propose, synthesize, and test new molecules, this process can be cost and time intensive, limiting the ...
Camille L. Bilodeau   +4 more
semanticscholar   +1 more source

Molecular design in drug discovery: a comprehensive review of deep generative models

Briefings Bioinform., 2021
Deep generative models have been an upsurge in the deep learning community since they were proposed. These models are designed for generating new synthetic data including images, videos and texts by fitting the data approximate distributions. In the last
Yu Cheng   +4 more
semanticscholar   +1 more source

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