An electroactive bacterium generates well-defined nanosized metal catalysts with remarkable water-splitting performance.

Working with doctors at two Saudi hospitals enables KAUST researchers to trial and validate novel biosensors for rapid disease diagnostics.

A newly found protein complex plays a vital role in RNA protection and stability during its journey between DNA and the cell’s protein factory.

Researchers have successfully cultivated a novel salt-tolerant bacterium from the Red Sea that effectively removes nitrogen from high-salinity waste water.

Research to underpin key government strategies for greening the desert, regenerating mangroves and meeting Saudi Arabia’s net zero targets by 2060.

There are new things to learn from each sample of sediment that I collect.

Evolution of lactate-mediated nerve signaling probably enabled memory systems, a comparative gene study shows.

​A decentralized wastewater treatment and reuse unit invented at King Abdullah University of Science and Technology (KAUST) has been installed in Rabigh, Saudi Arabia.

The drive to research tangible solutions to address climate change meant a leap from marine science to terrestrial agriculture for graduate student Clara Stanschewski, now studying quinoa.

Plant-derived biosolvents enable the sustainable conversion of plastic waste into valuable membrane materials.

KAUST biologist Aigerim Rakhmatulina is using social media to teach and inspire other women scientists.

Structural biology study reveals dynamics of DNA ligation during genome replication.

A new collaboration between Saudi agricultural technology company Red Sea Farms and the national carrier SAUDIA is putting sustainably produced food on the plates of the airline’s passengers.

For a researcher of extremophiles, the Saudi desert provides one of the most interesting places on Earth.

Using artificial intelligence for scientific research across a number of disciplines has led to a new startup based on a powerful online tool, where users automatically generate their own machine-learning models.

Textbook model of lagging-strand synthesis may be too simplistic for human DNA.