MIT Technology Review Subscribe

AI Can Warn Researchers Where CRISPR Might Make a Mistake

Microsoft has built an artificial intelligence tool that predicts the accuracy of CRISPR so that researchers can avoid making incorrect edits in DNA.

Missing the target: CRISPR uses two components: a cutting protein and a guide RNA that directs it to the part of a genome you want to cut. The guide RNA is about 20 letters long. Problem is, multiple sites in a genome can have the same series of letters, so CRISPR could snip the wrong section—known as an “off target” effect.

Advertisement

Why that matters: Off-target effects are one of the biggest safety concerns with CRISPR. Making incorrect cuts in a genome could, say, switch on a cancer-causing gene.

This story is only available to subscribers.

Don’t settle for half the story.
Get paywall-free access to technology news for the here and now.

Subscribe now Already a subscriber? Sign in
You’ve read all your free stories.

MIT Technology Review provides an intelligent and independent filter for the flood of information about technology.

Subscribe now Already a subscriber? Sign in

How AI helps: Microsoft’s tool lets researchers plug in a gene they want to modify and get an estimate of how bad potential off-target effects could be. Using the tool, researchers could figure out which genes are most difficult to safely edit and avoid tweaking them, says Nicolo Fusi of Microsoft Research.

This is your last free story.
Sign in Subscribe now

Your daily newsletter about what’s up in emerging technology from MIT Technology Review.

Please, enter a valid email.
Privacy Policy
Submitting...
There was an error submitting the request.
Thanks for signing up!

Our most popular stories

Advertisement