Computational and structural biology
Mass spec method captures proteins in native membranes
Yale scientists developed a mass spec protocol that keeps proteins in their native environment, detects intact protein complexes and tracks drug binding, offering a clearer view of membrane biology.
Laser-assisted cryoEM method preserves protein structure
University of Wisconsin–Madison researchers devised a method that prevents protein compaction during cryoEM prep, restoring natural structure for mass spec studies. The approach could expand high-resolution imaging to more complex protein systems.
Method sharpens proteome-wide view of structural changes
Researchers developed a method that improves limited proteolysis coupled with mass spectrometry, separating true changes from abundance or splicing effects.
New chemical strategy boosts accuracy in proteomics
Researchers develop a methylamine-based method that nearly eliminates peptide overlabeling in proteomics, improving accuracy in protein identification and quantitation.
Spider-like proteins spin defenses to control immunity
Researchers from Utrecht University discovered two distinct binding modes of a spider-shaped immune inhibitor found in serum.
Training AI to uncover novel antimicrobials
Antibiotic resistance kills millions, but César de la Fuente’s lab is fighting back. By pairing AI with human insight, researchers are uncovering hidden antimicrobial peptides across the tree of life with a 93% success rate against deadly pathogens.
AI-designed biomarker improves malaria diagnostics
Researchers from the University of Melbourne engineered Plasmodium vivax diagnostic protein with enhanced yield and stability while preserving antibody-binding, paving the way for more reliable malaria testing.
Antibiotic sensor directly binds drug in resistant bacteria
Researchers at Drexel University uncover how the vancomycin-resistant bacterial sensor binds to the antibiotic, offering insights to guide inhibitor design that restores antibiotic effectiveness against hospital-acquired infections.
AI unlocks the hidden grammar of gene regulation
Using fruit flies and artificial intelligence, Julia Zeitlinger’s lab is decoding genome patterns — revealing how transcription factors and nucleosomes control gene expression, pushing biology toward faster, more precise discoveries.