Bringing AI-driven protein-design tools to biologists everywhere
Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.
Founded by Tristan Bepler PhD ’20 and former MIT professor Tim Lu PhD ’07, OpenProtein.AI offers researchers open-source models and other tools for protein engineering.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.
Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.
The MIT senior will pursue a master’s degree at Cambridge University in the U.K. this fall.
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
Launched with a gift from the Biswas Family Foundation, the Biswas Postdoctoral Fellowship Program will support postdocs in health and life sciences.
The MIT-MGB Seed Program, launched with support from Analog Devices Inc., will fund joint research projects that advance technology and clinical research.
Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.