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Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning | Research Communities by Springer Nature

Late-stage functionalization of complex drug molecules is challenging. To address this problem, a discovery platform based on geometric deep learning and high-throughput experimentation was developed enabling the functionalization of complex molecules without de novo synthesis.