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AI-Fueled Software Reveals Accurate Protein Structure Prediction

By Ashleigh Papp “The dream of predicting a protein shape just from its gene sequence is now a reality,” said Paul Adams, Associate Laboratory Director for Biosciences at Berkeley Lab. For Adams and other structural biologists who study proteins, predicting their shape offers a key to understanding their function and accelerating treatments for diseases like

New Algorithm Sharpens Focus of World’s Most Powerful Microscopes

Blurry photo? There’s a photoshop tool for that. Blurry molecular structure map? Now, there’s a tool for that too.

Tau-tally Microtubular!

Researchers at Lawrence Berkeley National Laboratory and UC Berkeley have combined cutting-edge cryo-electron microscopy (cryo-EM) with computational molecular modeling to produce a near atomic-resolution model of the interaction between microtubules – crucial components of eukaryotic cell ultrastructure – and microtubule-associated proteins called tau.