With AI, researchers predict the location of virtually any protein within a human cell
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.
New molecular label could lead to simpler, faster tuberculosis tests
MIT chemists found a way to identify a complex sugar molecule in the cell walls of Mycobacterium tuberculosis, the world’s deadliest pathogen.
Response to infection highlights the nervous system’s surprising degrees of flexibility
Upon infection, the C. elegans worm reshuffles the roles of brain cells and flips the functions of some of the chemicals it uses to regulate behavior.
A new computational framework illuminates the hidden ecology of diseased tissues
The MESA method uses ecological theory to map cellular diversity and spatial patterns in tissues, offering new insights into disease progression.
A brief history of expansion microscopy
Since an MIT team introduced expansion microscopy in 2015, the technique has powered the science behind kidney disease, plant seeds, the microbiome, Alzheimer’s, viruses, and more.
Restoring healthy gene expression with programmable therapeutics
CAMP4 Therapeutics is targeting regulatory RNA, whose role in gene expression was first described by co-founder and MIT Professor Richard Young.
Molecules that fight infection also act on the brain, inducing anxiety or sociability
New research on a cytokine called IL-17 adds to growing evidence that immune molecules can influence behavior during illness.
Study: Tuberculosis relies on protective genes during airborne transmission
The findings provide new drug targets for stopping the infection’s spread.
High-speed videos show what happens when a droplet splashes into a pool
Findings may help predict how rain and irrigation systems launch particles and pathogens from watery surfaces, with implications for industry, agriculture, and public health.
MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Mapping mRNA through its life cycle within a cell
Xiao Wang’s studies of how and where RNA is translated could lead to the development of better RNA therapeutics and vaccines.
Kingdoms collide as bacteria and cells form captivating connections
Studying the pathogen R. parkeri, researchers discovered the first evidence of extensive and stable interkingdom contacts between a pathogen and a eukaryotic organelle.
A new computational model can predict antibody structures more accurately
Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.
Noninvasive imaging method can penetrate deeper into living tissue
Using high-powered lasers, this new method could help biologists study the body’s immune responses and develop new medicines.