Genomic language model gLM2 controllably generates new biosynthetic domain architectures
BrianHie · x · 2026-09-18
- Researchers applied the genomic language model gLM2 to engineer biosynthetic gene clusters — massive enzymes behind nature's most complex molecules.
- Engineering these systems is hard due to complex cross-domain interactions; the model learned from vast evolutionary data to controllably generate new domain architectures.
- A notable AI-for-Science step toward designing biological systems that access new regions of chemical space.
More from Research
- MoDA: RL alignment method fights LLM mode collapse while preserving output quality — stanfordnlp · 2026-09-19
- Stanford study finds the brain is actually two separate organs working together — Dr_Singularity · 2026-09-19
- Apple researchers propose probe guidance, cutting guidance cost for diffusion LMs with no extra forward pass — itsbautistam · 2026-09-19
- New Science paper shows disorder and heterogeneity can stabilize complex networks — wgilpin0 · 2026-09-19
- Token Superposition Training Cuts Pretraining Compute 2.5x on 10B MoE — gordic_aleksa · 2026-09-19
- First-of-its-kind AI x Med Chem Hackathon in Boston Ends; Compounds Head to Synthesis — generativist · 2026-09-19