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BioRender Template
Principle of Generative Chemistry
Creator
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Description
This figure illustrates the core principle of generative chemistry, where machine learning models optimize molecular structures in a multidimensional latent space to design improved compounds. A non-optimal seed molecule is encoded into numerical representations, refined through generator models using multi-objective optimization and decoded into new structures with enhanced properties.
This template is adapted from Dr. Jeremy Jenkins' keynote presentation at BioRender's virtual event, 'Mastering the AI Era: Exclusive Insights from Novartis, MIT & Top Biotech Leaders'.
Use this templateThis template is fully editable in BioRender with a free BioRender account — no credit card required to sign up.
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