Computational and structural biology

Cracking cancer鈥檚 code through functional connections
A machine learning鈥揹erived 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鈥揹erived heart cells, researchers from Cedars-Sinai uncovered surprising diversity 鈥 including a potential new cell type 鈥 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
麻豆传媒色情片 & Cellular Proteomics associate editor uses crosslinking mass spec to study protein鈥損rotein 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 鈥渕etavenome鈥 library to discover new drugs that bind clinically relevant human cell receptors. Read about this recent 麻豆传媒色情片 & 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 麻豆传媒色情片 & Cellular Proteomics.

New mass spectrometry tool accurately identifies bacteria
Scientists develop a software tool to categorize microbe species and antibiotic resistance markers to aid clinical and environmental research. Read about this recent article published in 麻豆传媒色情片 & Cellular Proteomics.