Biologists have used machine learning, a type of AI, to identify 'synthetic extreme' DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA ...

That is in part because of the ongoing challenge of understanding the DNA switches, called cis-regulatory elements (CREs), that control the expression and repression of genes.

Going forward, the further use of artificial intelligence for analyzing DNA sequence patterns should increase researchers' ability to understand as well as to control gene activation in human cells.

Modification of the CRISPR/Cas9 genome editing system by the addition of the light inducible proteins CRY2 and CIBI1 enables blue light–mediated transcription of endogenous genes in mammalian cells.

The researchers from the University of California San Diego used artificial intelligence to identify a DNA activation code, which was previously known to be "an enigma." ...

DNA structures containing unpaired guanosines flanking short (12- to 20-bp) dsDNA (Y-form DNA) were highly stimulatory and specifically enhanced the enzymatic activity of cGAS.