Scientists who specialize in studying the atom-by-atom choreography of enzymes have revealed new insights into the function of isopenicillin N synthase, an enzyme needed to produce some of the world’s most critical antibiotics.
AI-Fueled Software Reveals Accurate Protein Structure Prediction
For structural biologists who study proteins, predicting their shape offers a key to understanding their function and accelerating treatments for diseases like cancer and COVID-19. The current approaches to accurately mapping that shape have their limitations, but by applying powerful machine learning methods to the large library of protein structures it is now possible to predict a protein’s shape from its gene sequence.
CRISPR Voted Top Breakthrough at Berkeley Lab
In celebration of the Lab’s 90th anniversary, 16 of our most popular “90 Breakthroughs” faced off in the first ever Berkeley Lab Breakthroughs Bracket Challenge on Twitter. After four weeks of public voting online, the top breakthrough was “Created a Powerful Gene Editing Tool”—otherwise known as CRISPR!
Scientist at Berkeley Lab Played a Hand in ‘Inescapable’ COVID-19 Antibody Discovery
An antibody therapy that appears to neutralize all known SARS-CoV-2 strains, and other coronaviruses, was developed with a little help from structural biologist Jay Nix.
Automating Scientific Discoveries
As instruments in large-scale user facilities are becoming more powerful, the volume of data and its complexity also grow. To leverage these heightened capabilities and accelerate scientific discoveries, a field known as autonomous discovery has emerged. It uses algorithms to learn from a comparatively little amount of input data and determine the best next experimental steps — all with minimal human intervention.
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