Since the human genome was sequenced in 2003, geneticists have worked much like crash-site investigators - studying mutated and broken DNA to figure out what went wrong. Today, a new framework argues that to truly understand the human genome, we must build it ourselves.
Published in the journal Development, the research details how artificial intelligence and synthetic biology are allowing scientists to decode the complex ‘wiring’ of human DNA. The work was undertaken by Dr Charles Bell from Mater Research and The University of Queensland alongside an international team.
Dr Bell said that the ultimate goal of cracking this regulatory code lays the foundation for programmable therapeutics.
“By mastering the rules outlined in this guide, we are moving closer to designing custom-engineered DNA switches,” he said.
Programmable medicine represents a shift from static treatments to adaptive therapies, using engineered genetic circuits and living cellular systems that can deliver precise, context‑aware interventions. This could lead to hyper-targeted gene therapies that precisely target cancer while leaving surrounding healthy tissue completely unharmed.
The human genome is filled with billions of letters of DNA, but only a small fraction are actual genes. The vast majority of our DNA consists of a complex ‘cis-regulatory code’, a massive network of microscopic switches and dimmer dials that tell genes exactly where, when, and how brightly to turn on
Historically, this regulatory code has been overwhelmingly difficult to decipher. However, the paper outlines a new 'constructionist’ approach.
"You do not truly understand a complex biological system until you can build it from scratch," Dr Bell said.
"Instead of just observing natural mutations, we are now using advanced technology to artificially synthesise millions of custom DNA sequences.
“By putting these synthetic codes into living cells and watching what happens, we are finally learning the architectural rules of the genome."
Researchers can now test millions of artificial DNA sequences simultaneously, feeding the results into advanced AI models to map the ‘sequence-to-activity' rules of human genetics.
The paper sheds light on how DNA physically folds into three-dimensional loops, allowing ‘dimmer switches’ to control target genes from vast distances across the genome.
The researchers detail how tiny genetic ‘typos’ can disrupt overlapping regulatory switches, explaining how seemingly minor genetic variants can trigger complex conditions like autoimmune diseases.
The original paper, titled “How to build the regulatory genome: a constructionist guide to the cis-regulatory code" was originally published in Development in February 2026.
