« This is an approach that essentially reasons from evolutionary patterns in protein sequences to figure out what the critical pieces are. You can ask for much more extensive substitutions than you would typically have by point-by-point mutations. »
« This is an approach that essentially reasons from evolutionary patterns in protein sequences to figure out what the critical pieces are. You can ask for much more extensive substitutions than you would typically have by point-by-point mutations. »
Reference: Zhu, Z., Zhang, P., Gao, B. *et al.* Entangled dual-site migration via boracycle rearrangement. *Nature* (2026). https://doi.org/10.1038/s41586-026-10931-8
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from the article, i cant read the paper but they talk about algorithms being adjusted. anyone know if this is "ai" as in LLM/diffusion/generative, or ai as in "machine learning" which has been around for decades and isnt based on statistical weights and training data. i really wish people would stop lumping everything under one term as theres quite a few different technologies at play here.
https://github.com/rohitsinghlab/raygun