AI identifies gene interactions to speed up search for treatment targets

Nature Podcast

In this episode:

00:46 An AI that predicts gene interactions

Mapping the network of genes that control cellular processes can be difficult to do when gene-expression data is sparse, such as in rare diseases or those affecting tissues that are hard to clinically sample. To overcome this, a team has developed an artificial intelligence system trained on a large, general dataset, and used it to make predictions about gene interactions in data-limited situations. As a test-case they look at the heart condition cardiomyopathy, and show that the system can identify potential interactions that could represent new therapeutic targets.

Research article: Theodoris et al.

09:08 Research Highlights

Microbes that can break down persistent ‘forever chemicals’, and why intermolecular distances are the key to keeping gummy sweets chewy.

Research Highlight: Microbes take the ‘forever’ out of ‘forever chemicals’

Research Highlight: Better gummy sweets are within reach, thanks to physics

12:06 Briefing Chat

We discuss some highlights from the Nature Briefing. This time, how chronic stress can inflame the gut, and understanding how rocket launches might impact wildlife.

Nature News: Chronic stress can inflame the gut — now scientists know why

Nature News: Does the roar of rocket launches harm wildlife? These scientists seek answers

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