Samuel King
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samuelhking.bsky.social
Samuel King
@samuelhking.bsky.social
Stanford Bioengineering PhD candidate / Biological AI in Brian Hie’s lab at Arc Institute

https://samuelking.cargo.site
Reposted by Samuel King
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.
September 17, 2025 at 3:12 PM
Reposted by Samuel King
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...
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...
www.biorxiv.org
September 17, 2025 at 5:37 PM
Reposted by Samuel King
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...
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.
www.genengnews.com
September 17, 2025 at 3:21 PM
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 🧵
September 17, 2025 at 3:03 PM
Reposted by Samuel King
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.
February 19, 2025 at 4:42 PM
Reposted by Samuel King
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
December 19, 2024 at 6:54 PM