Computational and structural biology
Before we’ve lost what we can’t rebuild: Hope for prion disease
Sonia Vallabh and Eric Minikel, a husband-and-wife team racing to cure prion disease, helped develop ION717, an antisense oligonucleotide treatment now in clinical trials. Their mission is personal — and just getting started.
Cracking cancer’s code through functional connections
A machine learning–derived protein cofunction network is transforming how scientists understand and uncover relationships between proteins in cancer.
Proteomic variation in heart tissues
By tracking protein changes in stem cell–derived heart cells, researchers from Cedars-Sinai uncovered surprising diversity — including a potential new cell type — that could reshape how we study and treat heart disease.
Parsing plant pigment pathways
Erich Grotewold of Michigan State University, an ASBMB Breakthroughs speaker, discusses his work on the genetic regulation of flavonoid biosynthesis.
Computational tool helps scientists create novel bug sprays
Rapid discovery of mosquito repellent compounds is enabled through a novel screening platform that combines both computational modeling and functional screening.
Meet Lan Huang
Molecular & Cellular Proteomics associate editor uses crosslinking mass spec to study protein–protein interactions to find novel therapeutics.
New clues reveal how cells respond to stress
Redox signaling protein may help regulate inflammasome and innate immune activation. Read more about this recent Journal of Biological Chemistry paper.
Innovative platform empowers scientists to transform venoms into therapeutics
Scientists combine phage display and a “metavenome” library to discover new drugs that bind clinically relevant human cell receptors. Read about this recent Molecular & Cellular Proteomics paper.
Scientists identify pan-cancer biomarkers
Researchers analyze protein and RNA data across 13 cancer types to find similarities that could improve cancer staging, prognosis and treatment strategies. Read about this recent article published in Molecular & Cellular Proteomics.