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.
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Observations from NASA’s James Webb Space Telescope help to explain the cluster’s mysterious starburst, usually only seen in younger galaxies.
Xiao Wang’s studies of how and where RNA is translated could lead to the development of better RNA therapeutics and vaccines.
Tissue processing advance can label proteins at the level of individual cells across large samples just as fast and uniformly as in dissociated single cells.
In a report on the feasibility of removing carbon dioxide from the atmosphere, physicists say these technologies are “not a magic bullet, but also not a no-go.”
MIT oceanographer and biogeochemist Andrew Babbin has voyaged around the globe to investigate marine microbes and their influence on ocean health.
Specialist in paleoclimate and geochronology is known for contributions to education and community.
By determining how readily electron pairs flow through this material, scientists have taken a big step toward understanding its remarkable properties.
By making use of MIT’s existing fiber optic infrastructure, PhD student Hilary Chang imaged the ground underneath campus, a method that can be used to characterize seismic hazards.
Faculty members and additional MIT alumni are among 400 scientists and engineers recognized for outstanding leadership potential.
The consortium will bring researchers and industry together to focus on impact.
Longtime AeroAstro professor brings deep experience with academic and student life.
A new approach, which takes minutes rather than days, predicts how a specific DNA sequence will arrange itself in the cell nucleus.
In the United States and abroad, Matthew Dolan ’81 has served as a leader in immunology and virology.
Researchers characterize the peculiar Einstein Probe transient EP240408a.