Proteins

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Bringing AI-driven protein-design tools to biologists everywhere

ai, AI (Artificial Intelligence), Alumni/ae, Artificial Intelligence, Bioengineering and biotechnology, Biological engineering, Drug development, Innovation and Entrepreneurship (I&E), Machine Learning, Proteins, School of Engineering, Startups

Artificial intelligence is already proving it can accelerate drug development and improve our understanding of disease. But to turn AI into novel treatments we need to get the latest, most powerful models into the hands of scientists.The problem is that most scientists aren’t machine-learning experts. Now the company OpenProtein.AI is helping scientists stay on the […]

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MIT engineers design proteins by their motion, not just their shape

ai, AI (Artificial Intelligence), Artificial Intelligence, Biology, Civil and environmental engineering, Computational biology, Health sciences and technology, Materials science and engineering, Mechanical engineering, MIT-IBM Watson AI Lab, Proteins, Research, School of Engineering, Synthetic biology

Proteins are far more than nutrients we track on a food label. Present in every cell of our bodies, they work like nature’s molecular machines. They walk, stretch, bend, and flex to do their jobs, pumping blood, fighting disease, building tissue, and many other jobs too small for the eye to see. Their power doesn’t

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With AlphaGenome, Researchers Are Using A.I. to Decode the Human Blueprint

ai, AI (Artificial Intelligence), Artificial Intelligence, Biology and Biochemistry, Computers and the Internet, DNA (Deoxyribonucleic Acid), Genetics and Heredity, Google Inc, Hassabis, Demis, Human Genome Project, Jumper, John Michael, Nature (Journal), Pollard, Katherine, Proteins

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely a mystery.

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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Drug development, Electrical engineering and computer science (EECS), Health sciences and technology, Jameel Clinic, Machine Learning, Medicine, MIT Schwarzman College of Computing, Pharmaceuticals, Proteins, Research, School of Engineering, Special events and guest speakers

More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30, hosted by the Abdul Latif Jameel Clinic for Machine Learning in Health (MIT Jameel Clinic). Headlining the event was MIT PhD student and BoltzGen’s first author Hannes Stärk, who had announced BoltzGen just a few days

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