A Generative Evolutionary Many-Objective Framework: A Case Study in Antimicrobial Agent Design
Author:
Affiliation:
1. Laboratório Nacional de Computação Científica (LNCC/MCTI), Petrópolis, RJ, Brazil
2. Fundação Oswaldo Cruz (Fiocruz), Petrópolis, RJ, Brazil
Funder
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação Carlos Chagas Filho de Apoio à Ciência (FAPERJ)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3638530.3664159
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1. Adversarial deep evolutionary learning for drug design
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3. Mostapha Benhenda. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?
4. G Richard Bickerton, Gaia V Paolini, Jérémy Besnard, Sorel Muresan, and Andrew L Hopkins. 2012. Quantifying the chemical beauty of drugs. Nature chemistry 4, 2 (2012), 90--98.
5. Generative models for molecular discovery: Recent advances and challenges
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