AI Is Learning to Write Genetic Code

AI Is Learning to Write Genetic Code

This sort of research is both exciting and terrifying:

The two models in question were told to generate complete genomes for a viable bacteriophage—a type of virus able to infect and replicate itself inside bacteria, destroying them from the inside.

Using an existing bacteriophage as an example—ΦX174 (pronounced “fie-ex-1-7-4”), known for its ability to infect and destroy E. coli bacteria—the models generated about 700,000 potential designs, of which the researchers picked 285 that looked most promising.

The researchers then synthesised new DNA molecules using those designs and inserted them into E. coli bacteria, before waiting to see if viable bacteriophages would emerge.

Shortly afterwards, 16 of the Petri dishes in which the bacteria were growing began to show clear spots, as the viruses began to attack and replicate themselves inside the E. coli, demonstrating their viability.

Some of those viable viruses proved more effective at attacking E. coli than the original ΦX174 bacteriophage.

That’s a positive use of a synthetic virus. We can all imagine the negative uses.

Tags: AI, medicine