In Pseudomonas, the TwoAYGGAY RNA family extends well past its Rfam annotation, with three further hairpins and a 3’ pseudoknot on an elongated basal stem. A covariance model rebuilt on the Minerva predictions found 16,086 matches across 1,148 of 1,324 strains.

Many important bacterial non-coding RNAs and structural elements remain undiscovered. To help, @_David_Li, @garykbrixi, @mfgrp, @BrianHie & team introduce Minerva, which uses a genome language model to predict RNA base pairing, repeats, & other interactions from sequence alone.

As with biological design, AI can also accelerate biological discovery. In new work led by @_David_Li and @garykbrixi with @mfgrp, we show how genome language models enable systematic discovery of genetic elements, revealing a new class of reverse-transcriptase mechanisms.

New issue of @CellCellPress out today on AI and biology, featuring several papers from @arcinstitute: State cell perturbation model, scBaseCount AI agent curated single-cell dataset, Virtual Cell Challenge 2026 commentary, and Tahoe-100M from our friends at Tahoe Bio and featured in Arc Virtual Cell Atlas. Congrats to the teams. Lots more exciting AI/bio work cooking at Arc Institute! cell.com/cell/current

The data behind scBaseCount were already public. The challenge was making them findable, interpretable, and comparable Our new @CellCellPress paper describes how an AI agent helped build a uniformly processed resource of >502M cells doi.org/10.1016/j.cell.2026.… @arcinstitute

Want to join Arc? We're hiring experts in disease bio, computational bio, functional genomics, and NGS for our Tech Centers, plus postdocs and research associates in our Core Labs. All roles are based in Palo Alto, and are on-site or hybrid. Learn more or apply here: arcinstitute.org/jobs

I am honored to have been selected as one of MIT Technology Review's Innovators Under 35 this year. 🔗ter.li/05p3ttfg 🔗technologyreview.com/superto… This recognition is shared with the many amazing people I get to work with everyday as a @bioe_stanford PhD student and at @arcinstitute. Doing research alongside my brilliant labmates and advisor @BrianHie has been the best part of my PhD, and the science is truly a product of that. My research has been driven by the insight that biology operates on design principles that can be leveraged to transform medicine, sustainability, materials, and beyond, and that computational modeling, including AI, will help us decipher those design principles at scale. Nature's innovations are written in genomes, and we have a long way to go in understanding them. You can read more about some of our efforts developing AI to understand and design genomes in my comment below. Thank you to everyone at the @techreview and all the judges for organizing this, especially @AmyNordrum and @antonioregalado, for your support. I can't wait to see all the incredible things the other Innovators do!