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Brian Hie

@brianhie.bsky.social
2.7K followers 120 following 11 posts

AI for biology | Stanford and Arc Institute

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Reposted by Brian Hie
Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 23/09/2026
A genome language model reveals the interactions hidden in non-coding DNA, pointing to new putative RNAs and repetitive elements in bacterial genomes. @garykbrixi.bsky.social @maxewilkinson.bsky.social @mfgrp.bsky.social @brianhie.bsky.social www.biorxiv.org/content/10.6...
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Brian Hie @brianhie.bsky.social · 03/09/2026
Cool to see Germinal successfully design VHH antibodies with in vivo protection against cobra venom. Congrats to the team! www.biorxiv.org/content/10.6...
biorxiv.org
De novo designed single-domain antibodies protect against lethal cobra venom neurotoxicity in vivo
Generative protein design can now rapidly produce de novo binders with high affinity and functional activity against a wide range of targets, including lethal snake venom toxins. However, so far most ...
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Reposted by Brian Hie
Nature Methods @natmethods.nature.com · 24/08/2026
ProteinDPO: a protein language model for stability prediction and generation of thermostable protein sequences. @brianhie.bsky.social www.nature.com/articles/s41...
nature.com
Aligning protein-generative models to experimental fitness with ProteinDPO - Nature Methods
This Article demonstrates that direct preference optimization (DPO) can be used to effectively align an unsupervised structure-conditioned language model with biophysical information. The aligned mode...
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Reposted by Brian Hie
Arc Institute @arcinstitute.org · 14/08/2026
The same method that teaches an LLM which answers people prefer can teach a protein model which sequences are more stable. This is the basis for ProteinDPO, developed by Innovation Investigator @brianhie.bsky.social, Talal Widatalla, and team.
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Brian Hie @brianhie.bsky.social · 14/08/2026
Our work led by Talal Widatalla on aligning protein generative models to experimental fitness with ProteinDPO is now published in @natmethods.nature.com! New in the published paper includes stabilizing mutations to H5 hemagglutinin, a component of flu vaccines. www.nature.com/articles/s41...
nature.com
Aligning protein-generative models to experimental fitness with ProteinDPO - Nature Methods
This Article demonstrates that direct preference optimization (DPO) can be used to effectively align an unsupervised structure-conditioned language model with biophysical information. The aligned mode...
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Reposted by Brian Hie
Science Magazine @science.org · 11/08/2026
Using AI, researchers have designed complete, functional bacteriophage genomes from scratch and tested them against bacteria that had evolved resistance to a natural bacteriophage. Learn more in Science: scim.ag/45l86KH
scim.ag
Generative design of bacteriophages with genome language models
Many important biological functions arise not from single genes but from complex interactions encoded by entire genomes. We report the first generative design of complete bacteriophage genomes using g...
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Reposted by Brian Hie
Di Jiang @dijiang319.bsky.social · 08/08/2026
@science.org Generative design of bacteriophages with genome language models | Science www.science.org/doi/10.1126/...
science.org
Generative design of bacteriophages with genome language models
Many important biological functions arise not from single genes but from complex interactions encoded by entire genomes. We report the first generative design of complete bacteriophage genomes using g...
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Reposted by Brian Hie
Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 01/07/2026
Proto: A probabilistic programming language for designing biomolecules. Absolutely beautiful paper from top to bottom. @adititm.bsky.social @bviggiano.bsky.social @brianhie.bsky.social www.biorxiv.org/content/10.6...
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Reposted by Brian Hie
Nature Biotechnology @natbiotech.nature.com · 23/06/2026
Efficient generation of epitope-targeted antibodies with Germinal - @brianhie.bsky.social @synbiogaolab.bsky.social @stanford.edu @arcinstitute.org www.nature.com/articles/s41...
nature.com
Efficient generation of epitope-targeted antibodies with Germinal - Nature Biotechnology
Germinal achieves epitope-targeted, de novo complementarity-determining region design with high experimental success rates.
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Reposted by Brian Hie
Arc Institute @arcinstitute.org · 23/06/2026
Imagine programming protein, DNA, and RNA systems like you would write computer code, or even by natural language prompting of an AI agent. @brianhie.bsky.social and team just made this a reality with Proto: a high-level programming language for generative biology.
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Reposted by Brian Hie
Arc Institute @arcinstitute.org · 04/03/2026
Evo 2, the largest fully open biological AI model to date, is now published in @nature.com youtu.be/o_w-E--u7GQ
youtu.be
Building Evo 2: A Frontier DNA Language Model
YouTube video by Arc Institute
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Reposted by Brian Hie
Martin Steinegger 🇺🇦 @martinsteinegger.bsky.social · 21/01/2026
Milot’s venture into establishing his own lab is incredibly excitinge. I highly recommend to join Milot on his mission to advance molecular biology through open-source bioinformatics.
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Reposted by Brian Hie
Nature @nature.com · 25/11/2025
Nature research paper: Semantic design of functional de novo genes from a genomic language model go.nature.com/48uEnAn
go.nature.com
Semantic design of functional de novo genes from a genomic language model - Nature
By learning a semantics of gene function based on genomic context, the genomic language model Evo autocompletes DNA prompts to generate novel genes encoding protein and RNA molecules with defined activities, whose sequences generalize beyond those found in nature.
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Reposted by Brian Hie
Bryan Bryson @thebrysonlab.bsky.social · 05/11/2025
Excited to share our newest manuscript on antigen discovery and vaccine design for tuberculosis lead by Owen Leddy (everyone hiring new faculty in a few years, remember this name!) www.science.org/doi/10.1126/... #TBsky
science.org
Immunopeptidomics can inform the design of mRNA vaccines for the delivery of Mycobacterium tuberculosis MHC class II antigens
MHC class II immunopeptidomics in human phagocytes infected with Mycobacterium tuberculosis enables vaccine immunogen design and optimization.
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Reposted by Brian Hie
Bryan Bryson @thebrysonlab.bsky.social · 17/11/2025
Excited to share our lab's newest preprint (strap in if you're excited about metabolism, species differences, or Mtb gene expression): www.biorxiv.org/content/10.1...
biorxiv.org
Systems analysis reveals alternate metabolic states adopted by Mycobacterium tuberculosis across species
Mycobacterium tuberculosis (Mtb) persists within macrophages, yet how different host species shape bacterial state remains poorly understood. Here, we directly compared the intracellular transcriptome...
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Reposted by Brian Hie
Arc Institute @arcinstitute.org · 19/11/2025
Published today in @nature.com, @adititm.bsky.social & researchers from the @brianhie.bsky.social lab report that the large-scale genomic model, Evo, is capable of using surrounding genomic context to produce novel, functional genes, enabling an an emergent approach they've termed 'semantic design'.
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Reposted by Brian Hie
Aditi Merchant @adititm.bsky.social · 19/11/2025
What if we could autocomplete DNA based on function? Today in @Nature, we share semantic design—a strategy for function-guided design with genomic language models that leverages genomic context to create de novo genes and systems with desired functions. 🧵 www.nature.com/articles/s41...
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Brian Hie @brianhie.bsky.social · 19/11/2025
Today in @nature.com, in work led by @adititm.bsky.social, we report the ability to prompt Evo to generate functional de novo genes. You shall know a gene by the company it keeps!
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Reposted by Brian Hie
Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 25/09/2025
Combine multimer structure prediction and an antibody language model to design de novo antibodies with nanomolar binding affinity. @synbiogaolab.bsky.social @brianhie.bsky.social www.biorxiv.org/content/10.1...
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Reposted by Brian Hie
Xiaojing Gao @synbiogaolab.bsky.social · 24/09/2025
Having often dealt with the frustration of binder-limited projects, we sought a more accessible source for nanobodies than yeast display or llama. Here we introduce Germinal, computationally designing antibody-like binders with such a hit rate that only tens need to be screened for each target.
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Reposted by Brian Hie
Arc Institute @arcinstitute.org · 24/09/2025
In another preprint from the @brianhie.bsky.social Lab and @synbiogaolab.bsky.social, they introduce Germinal, a generative AI system for de novo antibody design. Germinal produces functional nanobodies in just dozens of tests, making custom antibody design more accessible than ever before.
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Reposted by Brian Hie
Adrian Woolfson @adrianwoolfson.bsky.social · 17/09/2025
A landmark paper from Brian Hie’s group at the Arc Institute. The de novo design of the synthetic genome of an entirely novel biological entity www.biorxiv.org/content/10.1...
biorxiv.org
Generative design of novel bacteriophages with genome language models
Many important biological functions arise not from single genes, but from complex interactions encoded by entire genomes. Genome language models have emerged as a promising strategy for designing biol...
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Reposted by Brian Hie
Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 17/09/2025
Genome language models can generate new, high-fitness bacteriophages! @samuelhking.bsky.social @claudiadriscoll.bsky.social @david-li.bsky.social @danguo.bsky.social @adititm.bsky.social Garyk Brixi @maxewilkinson.bsky.social @brianhie.bsky.social www.biorxiv.org/content/10.1...
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Reposted by Brian Hie
Paul Hoskisson 🧫 🦠🐸 @paulhoskisson.bsky.social · 17/09/2025
This is super cool from @brianhie.bsky.social et al- Generative design of novel bacteriophages with genome language models www.biorxiv.org/content/10.1...
biorxiv.org
Generative design of novel bacteriophages with genome language models
Many important biological functions arise not from single genes, but from complex interactions encoded by entire genomes. Genome language models have emerged as a promising strategy for designing biol...
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Reposted by Brian Hie
Arc Institute @arcinstitute.org · 17/09/2025
In a new preprint from @brianhie.bsky.social's lab, the team reports the first generative design of viable bacteriophage genomes. Leveraging Evo 1 & Evo 2, they generated whole genome sequences, resulting in 16 viable phages with distinct genomic architectures.
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Reposted by Brian Hie
Samuel King @samuelhking.bsky.social · 17/09/2025
Many of the most complex and useful functions in biology emerge at the scale of whole genomes. Today, we share our preprint “Generative design of novel bacteriophages with genome language models”, where we validate the first, functional AI-generated genomes 🧵
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Reposted by Brian Hie
The National Academies of Sciences, Engineering and Medicine @nationalacademies.org · 14/03/2025
#AI is transforming #biology, enabling rapid innovation — but with progress comes risk. A new National Academies report examines how AI-driven biological tools could impact #biosecurity, from potential misuse to their role in risk mitigation. Read: buff.ly/2unawE4
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Reposted by Brian Hie
Hannes Stark @hannes-stark.bsky.social · 13/03/2025
Video is up! "Genome modeling and design across all domains of life with Evo 2" youtu.be/Rarn97Wpl1A With the author Garyk Brixi!
youtu.be
Genome modeling and design across all domains of life with Evo 2 | Garyk Brixi
YouTube video by Valence Labs
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Reposted by Brian Hie
Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 27/02/2025
Evo2: a fully open genome language model that can predict the functional effects of variation and generate large genomic segments @garykbrixi.bsky.social @matthewdurrant.com @michaelpoli.bsky.social @genophoria.bsky.social @pdhsu.bsky.social @brianhie.bsky.social www.biorxiv.org/content/10.1...
Overview of evo2
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Reposted by Brian Hie
Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 21/02/2025
All-atom fixed backbone protein sequence design with FAMPNN @richardshuai.bsky.social Talal Widatalla @possuhuanglab.bsky.social @brianhie.bsky.social www.biorxiv.org/content/10.1...
FAMPNN architecture
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Brian Hie @brianhie.bsky.social · 19/02/2025
We trained a genomic language model on all observed evolution, which we are calling Evo 2. The model achieves an unprecedented breadth in capabilities, enabling prediction and design tasks from molecular to genome scale and across all three domains of life.
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Reposted by Brian Hie
Quanta Magazine @quantamagazine.org · 05/02/2025
Brian Hie harnessed the powerful parallels between DNA and human language to create an AI tool that interprets genomes. Read his conversation with Ingrid Wickelgren: www.quantamagazine.org/the-poetry-f...
quantamagazine.org
The Poetry Fan Who Taught an LLM to Read and Write DNA | Quanta Magazine
By treating DNA as a language, Brian Hie’s “ChatGPT for genomes” could pick up patterns that humans can’t see, accelerating biological design.
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Eric Topol @erictopol.bsky.social · 01/01/2025
The 2024 Good Tech Awards, spotlighted by @kevinroose.com for #AI/Science nytimes.com/2024/12/30/t... congrats! @arcinstitute.org @brianhie.bsky.social @patrickhsuu.bsky.social @jameszou.bsky.social and the others for well deserved recognition
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Sarafan ChEM-H @stanford-chemh.bsky.social · 24/12/2024
#YearInReview An AI-based method to develop better antibody medicines faster: buff.ly/3P74SCo @brianhie.bsky.social
Institute Scholar Peter Kim, Brian Hie, Varun Shanker, and team’s new AI approach optimizes development of antibody drugs.
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Reposted by Brian Hie
Di Jiang @dijiang319.bsky.social · 22/12/2024
New @biorxiv-synthbio.bsky.social on #Evo 👀⤵️🧵 introducing Evo 1.5 for semantic mining + SynGenome - an AI-generated genomics database #AI #synbio #LLM🧬 @adititm.bsky.social @brianhie.bsky.social et al. @arcinstitute.org
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Aditi Merchant @adititm.bsky.social · 19/12/2024
Excited to have the first project of my PhD out!! By leveraging genomic language model Evo’s ability to learn relationships across genes (i.e., "know a gene by the company it keeps"), we show that we can use prompt-engineering to generate highly divergent proteins with retained functionality. 🧵1/N
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 18/12/2024
A protein's position in the genome in relation to other genes is informative about function, so a genomic language model can be prompted to generate - toxin/antitoxin pairs - anti-CRISPR proteins + a database of 120B synthetic base pairs www.biorxiv.org/content/10.1... @brianhie.bsky.social
In-context genomic modeling and design with Evo.120 billion base pairs of AI-generated genomic sequences with SynGenome.Evo generates functional anti-CRISPR proteins with no homology to known proteins. Evo generates functional toxin-antitoxin protein-protein interactions with remote homology to nature.
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Brian Hie @brianhie.bsky.social · 17/12/2024
We have found and fixed a bug in the code for Evo model inference affecting package versions from Nov 15-Dec 16, 2024, which has been corrected in the latest release. If you installed the package during this timeframe, please upgrade to correct the issue.
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Tim Stearns @stearnslab.bsky.social · 16/11/2024
Real genotype-to-phenotype is now much closer in this beautiful work on a genomic foundation model from @brianhie.bsky.social. www.science.org/doi/10.1126/...
science.org
Sequence modeling and design from molecular to genome scale with Evo
The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an organism’s function. We present Evo, a long-context genomic foundation model with a frontier architecture trained o...
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Stephen Turner @stephenturner.us · 14/11/2024
The Evo model made the cover of Science this month 🧬🖥️🧪 Perspective: Learning the language of DNA www.science.org/doi/10.1126/... Research paper: Sequence modeling and design from molecular to genome scale with Evo www.science.org/doi/10.1126/... Code (Apache) github.com/evo-design/e...
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Hani Goodarzi @genophoria.bsky.social · 14/11/2024
Really cool model from Brian Hie and Patrick Hsu! www.science.org/doi/10.1126/...
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Kevin K. Yang 楊凱筌 @kevinkaichuang.bsky.social · 14/11/2024
Evo: A genomic language model of prokaryote genomes generates functional cas9 proteins and transposons. @brianhiestand.bsky.social www.science.org/doi/10.1126/...
Evo, a 7-billion-parameter genomic foundation model, learns biological complexity from individual nucleotides to whole genomes.
Pretraining a genomic foundation model across prokaryotic life.Fine-tuning on CRISPR-Cas sequences enables generative design of protein-RNA complexes.Fig. 4. Fine-tuning on IS200/IS605 sequences enables generative design of transposable biological systems.
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Eric Topol @erictopol.bsky.social · 14/11/2024
New at Science Evo, a large language of life (LLLM) genomic foundation model, predicting & generating tasks from molecular to genomic scale science.org/doi/10.1126/...
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Matt Durrant @mgdurrant.bsky.social · 14/11/2024
Thrilled to see this published! Lots of progress since our preprint, including experimental validation of Evo-generated Cas9 and IS200/IS605 transposases. I am definitely a true believer when it comes to DNA language models, they have quickly become central to my discovery efforts. bit.ly/3OsmUPr
bit.ly
Contents | Science 386, 6723
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Derek Lowe @dereklowe.bsky.social · 02/11/2023
A weirdly effective way to make better antibodies even ones that have already been optimized:
science.org
Try This Antibody Over Here
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