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Samuel King

@samuelhking.bsky.social
125 followers 194 following 16 posts

Stanford Bioengineering PhD candidate / Biological AI in Brian Hie’s lab at Arc Institute samuelking.cargo.site

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Reposted by Samuel King
Adrian Woolfson @adrianwoolfson.bsky.social · 07/08/2026
Congrats to @brianhie.bsky.social and @samuelhking.bsky.social at the @arcinstitute.org on a remarkable publication in @science.org. Time will demonstrate the philosophical importance of this landmark paper.
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Reposted by Samuel King
Arc Institute @arcinstitute.org · 06/08/2026
One of our most popular preprints of 2025 is now published in @science.org. Congrats to @brianhie.bsky.social, @samuelhking.bsky.social, and team on establishing a framework for generating and evaluating AI-generated genomes. - Access the paper: 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 Samuel King
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 Samuel King
Shira Weingarten-Gabbay @shiraweingarten.bsky.social · 07/01/2026
Tomorrow, at the #SystemsVirologyJournalClub, @samuelhking.bsky.social will present his work with @brianhie.bsky.social using AI genome language models to generate novel, high-fitness bacteriophages.
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Reposted by Samuel King
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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Reposted by Samuel King
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 Samuel King
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 Samuel King
Fay Lin @faylinphd.bsky.social · 17/09/2025
Genome foundation models, Evo 1 and Evo 2, have now generated viable bacteriophage genomes, demonstrating experimental validation of whole genomes designed by AI! @arcinstitute.org @brianhie.bsky.social @samuelhking.bsky.social Read more at GEN: www.genengnews.com/topics/artif...
genengnews.com
AI Designs Viable Bacteriophage Genomes, Combats Antibiotic Resistance
AI-guided design of 16 functional bacteriophage genomes offers a path for phage-based therapies against antibiotic-resistant infections.
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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 Samuel King
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 Samuel King
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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