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Journal: Int. J. Mol. Sci., 2022
Volume: 23
Number: 11262
11262
Article: Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration
Authors: by Keerthi Krishnan, Ryan Kassab, Steve Agajanian and Gennady Verkhivker
Link: https://www.mdpi.com/1422-0067/23/19/11262

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