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News

PNNL Peptoid Sequencing Progress Featured on Cover of Accounts of Chemical Research

A new review paper led by senior research scientist Chun-Long Chen and featured on the cover of Accounts of Chemical Research summarizes advances by PNNL scientists in developing sequence-defined peptoids.

News

E-cigarettes Stress Lungs, Impair Protein Function

E-cigarette exposure stresses and inflames the lungs of rats, compromising important quality control proteins, according to new research.

News

Hofmockel Appointed as Liaison to U.S. National Committee on Soil Sciences

This committee represents the country’s soil science community in the International Union of Soil Sciences, advises The National Academies, and communicates with professional societies and organizations.

Publication

Explicit Representation of Complex Organic Matter Chemistry in Biogeochemical Modeling

New biogeochemical modeling uses high-resolution mass spectrometry data to reveal how organic matter thermodynamics affect ecosystems across scales.

Page

National Laboratory Pulls Together to Address the COVID-19 Pandemic

PNNL has increased the nation’s capacity to test for COVID-19, demonstrating that reagents and equipment from additional manufacturers meet the standards needed to yield accurate test results.

Page

WHONDRS ICON-FAIR Framework

Publication

Mapping Sediment Grain Size with Machine Learning

The map fills in a portion of the study site missing from sampling studies and enables a better understanding of hydrological dynamics in a complex river corridor.

Publication

Associations between frequency of culinary herb and gut microbiota

Publication

Examining the Ecological Assembly of Organic Matter and Microbes

A novel ecological measurement uncovered interactions between river corridor organic matter assemblages and microbial communities, highlighting potentially important microbial taxa and molecular formula types.

News

Decoding Protein Interactions with Domain-Aware Machine Learning

Parallel graph neural networks identify protein-ligand 3-D structural interactions to aid in protein function prediction and drug discovery.

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