Protein study could help researchers develop new antibiotics
Researchers created a water-soluble version of an important bacterial enzyme, which can now be used in drug screens to identify new antibiotics.
Researchers created a water-soluble version of an important bacterial enzyme, which can now be used in drug screens to identify new antibiotics.
An atlas of human protein kinases enables scientists to map cell signaling pathways with unprecedented speed and detail.
MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.
Software allows scientists to model shapeshifting proteins in native cellular environments.
Study finds stimulating a key brain rhythm with light and sound increases peptide release from interneurons, driving clearance of an Alzheimer’s protein.
Brad Pentelute and his lab compel the anthrax delivery system to deliver antibody and peptide variants into cells to treat cancer.
A single protein can self-assemble to build the scaffold for a biomolecular condensate that makes up a key nucleolar compartment.
The device detects the same molecules that cell receptors do, and may enable routine early screening for cancers and other diseases.
A new approach opens the door to a greater understanding of protein-microbe interactions.
Whitehead Institute researchers find many transcription factors bind RNA, which fine-tunes their regulation of gene expression, suggesting new therapeutic opportunities.
A new technology called RIBOmap can give researchers valuable insight into how protein production in animal and human tissue is altered in disease.
“FrameDiff” is a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.
The disorganized arrangement of the proteins in light-harvesting complexes is the key to their extreme efficiency.
Scientists find a protein common to flies and people is essential for supporting the structure of axons that neurons project to make circuit connections.
By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.