Microbial genomes encode non-coding RNAs (ncRNAs) and nucleic-acid-interacting proteins essential to biology and biotechnology. However, discovery of these systems remains protein-centric and based on similarity to known sequences. Here, we introduce Minerva, a framework for coevolutionary mining that uses genome langu...
David B. Li, G. Brixi, Alexandra S. Kim et al.· bioRxiv· 1 citation
This work introduces antiGen, a machine learning model that forecasts the evolutionary future of viruses by learning from their evolutionary past, and achieves state-of-the-art performance for predicting mutations to the SARS-CoV-2 spike protein.
I. Specht, Soyoon Park, Seyone Chithrananda et al.· bioRxiv· 1 citation
This work demonstrates how to provide task-specific information without losing the general knowledge learned during pretraining by using direct preference optimization to align a structure-conditioned protein language model to preferentially generate stable protein sequences.
Talal Widatalla, Ashir Borah, Samuel H. King et al.· Nature Methods· 3 citations
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