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BCSB Confirms Design of Stimulus-responsive, Two-state Proteins

August 29, 2023

Colorful 3D-image of a spiral protein structure, with blurring to indicate that the structure moves between two conformational shapes.

Researchers have leveraged machine learning to create proteins that toggle between two different shapes in response to biological triggers, overcoming a limiting challenge in computational protein design and broadening the potential functionality of designed proteins. Study co-author Banumathi Sankaran, a research scientist in the Molecular Biophysics and Bioimaging Division, used the Advanced Light Source (ALS) beamlines in the Berkeley Center for Structural Biology (BCSB) to validate results with X-ray crystallography data. 

Machine Learning Helps Link Chemical Exposure and Obesity

May 1, 2023

plastic water bottle

Scientists at Berkeley Lab and their collaborators developed a machine learning technique to discover obesity-related mixed chemical exposure patterns associated with environmental health risk in the general U.S. population. To assess this, they used indicators like body mass index and waist circumference.

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