AI-designed E. coli killer points toward new ways to fight antibiotic-resistant bacteria

In science, the suffix "phage" means to devour. Thus, the name bacteriophage might conjure images of tiny creatures that "eat" bacteria. While that conception isn't 100% scientifically accurate, bacteriophages are lethal killers of bacteria nonetheless, and scientists are excited about engineering phage DNA as a path to new antibiotics.

And so it is that chemical engineer Brian Hie and bioengineering graduate student Samuel King came to study bacteriophage ΦX174 (pronounced “FYE-ex-1-7-4”). Hie, an assistant professor of chemical engineering and the Dieter Schwarz Foundation Stanford Data Science Faculty Fellow, created Evo 2, a generative AI model that solves complex biological challenges by suggesting new DNA sequences. Given just the barest snippet of ΦX174 DNA, Evo 2 can write novel genomes of new phages that kill bacteria—in this case, the microbe E. coli, which can be deadly when infections turn serious.

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