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Learning Universal Representations of Intermolecular Interactions with ATOMICA

Fang, A. et al.
bioRxiv / medRxiv · Papers · License: CC BY 4.0
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bioinformatics
Molecular interactions underlie nearly all biological processes, yet most representation models describe isolated entities or specialize in a single molecular setting. Here, we introduce ATOMICA, an interaction-centered geometric deep learning model designed to learn transferable representations of
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