More information: An Interpretable RNA Foundation Model for Exploration Functional RNA Motifs in Plants, Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00946-z ...

More information: Edan Patt et al, Predicting RNA structure and dynamics with deep learning and solution scattering, Biophysical Journal (2024). DOI: 10.1016/j.bpj.2024.12.024 ...

Google DeepMind is introducing an improved version of its AI model that predicts not just the structure of proteins but also the structure of “all life’s molecules.” The work from the new ...

Instead of open-sourcing the new model, DeepMind is offering a cloud-based “AlphaFold Server” where academic researchers can access AlphaFold 3 and “generate biological structures,” the ...

The kit is available in 24 and 96-reaction configurations and the initial template is prepared with 1 ng - 1 µg of total human, mouse or rat input RNA.

MIT researchers use AI to improve RNA therapeutics' delivery, predicting better material compositions for targeted nanoparticles.

Parse Biosciences partners with Decode Science to bring Parse’s single-cell RNA-seq solution to the Australian and New Zealand markets.