PNNL has formed a partnership with the Orlando-based firm Refinity, which has licensed a key process from PNNL that will help the company convert mixed plastic waste into valuable industrial products like chemicals, plastics, and fuels.

Integrating multiple structural proteomics techniques helps unravel microbial responses to changing environments—key to developing next-generation biotechnology solutions.

Study shows the advantages of top-town proteomics for characterizing histones.

Margaret Cheung elected to premier scientific society.

A microbial community expresses a phenotype of interest ~20 percent higher than the sum of each member species.

Automated liquid handling, combined with data analysis and AI, optimizes microbiological growth conditions at PNNL.

Autonomous science laboratories are taking shape quickly across the PNNL campus.

From exploring the development of transformative materials to strengthening biotechnology, six up-and-coming PNNL scientists were recognized for their scientific vision and prowess.

Pacific Northwest National Laboratory scientists envision new research frontiers at the intersection of biology and AI

Structural proteomics reveal how cyanobacteria adapt to changing light.

Secretary Wright visited PNNL's campus in Richland, Washington, late last year to meet with innovators in chemistry, biology, computing, and more.

Researchers use multiomics to confirm role of lipid synthesis during infection, leading to model of how to restrict virus replication.

McDermott is co-chairing one of only five organized sessions at the annual Pacific Symposium on Biocomputing.

PNNL researchers Daniel Deng and Yehia Ibrahim join the 2025 class of National Academy of Inventors Fellows.

Pioneering autonomous science facility puts a big focus on tiny microbes and AI-driven science.

PNNL researchers are opening up a new front in the fight to stop viral pathogens, protecting people against multiple viruses.

Capturing protein structural changes in host cells exposes vulnerabilities exploited by viruses to hijack cellular machinery.

PNNL researchers developed a new computational workflow to study day-to-night gene expression dynamics of cyanobacterium in real time.

Predicting how organisms’ characteristics respond to not only their genes, but also their environments (a nascent field called predictive phenomics), is extraordinarily challenging. Researchers at PNNL are using AI to tackle that challenge.

As Laboratory Director Steve Ashby pens his last monthly column, he highlights PNNL’s accomplishments with pride and gratitude.