Announcing Evo 2: The largest publicly available, AI model for biology to date, capable of understanding and designing genetic code across all three domains of life. arcinstitute.org/manuscripts/Ev…
Arc Institute
713 posts
Arc Institute
@arcinstitute
A full-stack institute for AI and biology research.
- For decades, human genome editing has been limited to small, localized modifications. Today, in a new paper published in @ScienceMagazine, researchers from the @pdhsu lab show that bridge recombinase technology is capable of large-scale genomic rearrangements in human cells.
- Introducing Arc Institute’s first virtual cell model: STATE
- Today, we're launching the Arc Virtual Cell Atlas, a growing resource for computation-ready single-cell measurements. As the initial contributions, @vevo_ai has open sourced Tahoe-100M, the world's largest single-cell dataset, mapping 60,000 drug-cell interactions, and we’re
- The Arc Institute launches today with @Stanford @UCBerkeley @UCSF, bringing together unconstrained funding for ambitious science, rapid tech development centers, and the scientific excellence of these universities into one physical institute. Join us at arcinstitute.org
- 🧬Evo, the first foundation model trained at scale on DNA, is a Rosetta Stone for biology. DNA, RNA, and proteins are the fundamental molecules of life—and cracking the code of their complex language is an ongoing grand challenge. 🔬Today in @ScienceMagazine, the labs of Arc
- Register today for the Virtual Cell Challenge and use AI to solve one of biology’s most complex problems. Announced in @CellCellPress, the competition is hosted by Arc Institute and sponsored by @nvidia, @10xGenomics, and @UltimaGenomics.
- 🧬Introducing a powerful, programmable new mechanism for genome design: DNA recombination with bridge RNAs. As the first natural RNA-guided DNA recombinase, this system enables insertion, excision, or inversion of any two DNA sequences. Out today in @Nature, led by Arc
- Today, Arc announced it is joining forces with @NVIDIAHealth to develop powerful computational tools that will help researchers everywhere explore and understand living systems in ways previously impossible.
- New preprint: The first whole-body map of both DNA methylation and 3D genome organization at single-cell resolution across 16 human tissues, with in-depth analyses of cell type diversity of these epigenome modalities at unprecedented resolutions. (1/5)
- Published today in @NatureBiotech, @LaineGoudy. @LukeGilbertSF, Alex Marson, and colleagues report a new epigenetic editing platform that safely reprograms multiple genes in human T cells without many of the challenges & risks associated with traditional gene editing approaches.
- This is the first generative protein language model trained on three protein features: sequence, structure, and function. Using GFP as a test case, the model generated a bright functional protein with low sequence homology to known proteins – estimated to be equivalent to aAn #AI model created to design proteins simulates 500 million years of protein evolution in developing a previously unknown bright fluorescent protein. Learn more in a new Science study: scim.ag/4jhJ9Wa
- A study published today in @NatureBiotech from the @pdhsu lab presents a new way to insert large DNA sequences into the genome using engineered recombinases that don’t require DNA cutting or rely on the cell's repair machinery.
- Same spot, two years apart. 🧬 Exciting to see how far we've come!
