MIT engineers design proteins by their motion, not just their shape
An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.
An AI model generates novel proteins based on how they vibrate and move, opening new possibilities for dynamic biomaterials and adaptive therapeutics.
The method allows researchers to observe biomolecular complexes in a quick, accurate, and budget-friendly way, providing new insights into bacterial protein synthesis.
Researchers uncover a hidden mechanism that allows cancer to develop aggressive mutations.
Tracking how fruit fly motor neurons edit their RNA, neurobiologists cataloged hundreds of target sites and varying editing rates, finding many edits altered communication- and function-related proteins.
A study profiling antigens presented on immune and tumor cells in co-culture points to new strategies for attacking a treatment-resistant and deadly brain cancer.
New findings may help researchers identify genetic mutations that contribute to rare diseases, by studying when and how single genes produce multiple versions of proteins.
BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.
The KATMAP model, developed by researchers in the Department of Biology, can predict alternative cell splicing, which allows cells to create endless diversity from the same sets of genetic blueprints.
Adding amino acids to certain protein-based medications can improve stability and effectiveness. New MIT research demonstrates how it works.
A leading researcher in protein folding biochemistry and next-generation protein engineering techniques will advance chemistry research and education.
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.
Researchers developed an approach to study where proteins get made, and characterized proteins produced near mitochondria, gaining potential insights into mitochondrial function and disease.
A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.
Protein sensor developed by alumna-founded Advanced Silicon Group can be used for research and quality control in biomanufacturing.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.