Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
COBOL is in the headlines again, and this time it is because of artificial intelligence (AI) – sparking conversations with tools emerging that claim t.
Abstract: Causal structure learning on event sequences is essential in critical systems such as communications, transportation, and industrial monitoring, where precise modeling of causal dependencies ...
Scientists at St. Jude Children's Research Hospital have revealed previously unappreciated roles for the retrotransposon LINE-1 in shaping the cancer genome structure and regulation. Retrotransposons ...
This valuable work presents an interpretable protein-DNA Energy Associative (IDEA) model for predicting binding sites and affinities of DNA-binding proteins. While the method is convincing, it ...
Gero, a biotechnology company developing novel therapeutics for aging and chronic diseases, has released ProtoBind-Diff, a novel masked diffusion language model that generates drug-like molecules for ...
Deep generative models that learn from the distribution of natural protein sequences and structures may enable the design of new proteins with valuable functions. While the majority of today’s models ...
Predicting RNA 3D structures is critical for understanding its biological functions, advancing RNA-targeted drug discovery, and designing synthetic biology applications. However, RNA’s structural ...
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