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Disclaimer: No LLMs were used in the writing of this essay—all em dashes are mine1. Soon after the AlexNet breakthrough burst onto the scene over a decade ago, I became preoccupied with the followi…

A Generative Multimodal Model for Biomolecules. Contribute to PolymathicAI/MIMIC development by creating an account on GitHub.

UC Berkeley and UCSF have launched a joint program called the Bakar Computational Biomedicine Initiative to develop the frontier of AI and biomedicine, tremendously accelerating advances in clinical c...

The conformational ensemble of a protein and its corresponding probabilities and dynamics are crucial determinants of its function, but are difficult …

We are excited to announce the early-stage release of our S. cerevisiae  structural interactome mapping project. Using AlphaFold3 (AF3), w...

Protein structure is conserved beyond sequence, making multiple structural alignment (MSTA) essential for analyzing distantly related proteins. Computational prediction methods have vastly extended ou...

Mirdita Lab builds scalable bioinformatics methods.

Protein language models capture single proteins but struggle with interactions. Here, authors present MINT, trained on large PPI datasets, which outperforms existing PLMs in predicting binding, mutati...