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Structure-constrained molecular generation using reinforcement learning over reaction templates, trained without any external property metric.
University of Wisconsin-Madison / Morgridge Institute for Research / Indian Institute of Technology Madras
Released July 29, 2024
Genome language model that embeds a genome as a set of contextualized protein embeddings, pretrained on over 100,000 viruses for viromics.