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First synthetic circuit consists of entirely fast, reversible protein-protein interactions

First synthetic circuit consists of entirely fast, reversible protein-protein interactions Synthetic biology offers a way to engineer cells to perform novel functions, such as glowing with fluorescent light when they detect a certain chemical. Usually, this is done by altering cells so they express genes that can be triggered by a certain input. However, there is often a long lag time between an event such as detecting a molecule and the resulting output, because of the time required for cells ...
Bonnie Berger Brian Teague Ron Weiss Tristan Bepler Deepak Mishra Emily Henderson

Synthetic biology circuits can respond within seconds

Share Synthetic biology offers a way to engineer cells to perform novel functions, such as glowing with fluorescent light when they detect a certain chemical. Usually, this is done by altering cells so they express genes that can be triggered by a certain input. ย  However, there is often a long lag time between an event such as detecting a molecule and the resulting output, because of the time required for cells to transcribe and translate the necessary genes. MIT synthetic biologists have now...
Bonnie Berger Brian Teague Ron Weiss Tristan Bepler Deepak Mishra National Science Foundation Graduate Research Fellowship Program

Eight from MIT named 2021 Sloan Research Fellows

Previous image Next image The Alfred P. Sloan Foundation announced Feb. 16 that it has awarded Sloan Research Fellowships to eight MIT professors in the MIT Media Lab and in the departments of Biology, Brain and Cognitive Sciences, Chemical Engineering, Electrical Engineering and Computer Science, and Mathematics. The fellowships, which honor pre-tenure faculty members, will support their research with two-year, $75,000 awards. โ€œThe Sloan Research Fellowship Program recognizes and rewards out...
United States Karthish Manthiram Joseph Joey Davis Steven Flavell Lisa Piccirillo Bonnie Berger
Source: mit.edu

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Machine-learning model helps determine protein structures

Credits: Credit: Courtesy of Ellen Zhong *Terms of Use: Images for download on the MIT News office website are made available to non-commercial entities, press and the general public under a Creative Commons Attribution Non-Commercial No Derivatives license. You may not alter the images provided, other than to crop them to size. A credit line must be used when reproducing images; if one is not provided below, credit the images to "MIT." ...
Ellen Zhong Bonnie Berger Joseph Davis Tristan Bepler National Science Foundation Graduate Research Fellowship Program Artificial Intelligence Laboratory
Source: mit.edu

Algorithms Designed to Study Language Can Predict Immune "Escape" Mutations for HIV, Influenza, and SARS-CoV-2

By bridging the conceptual divide between human language and viral evolution, MIT researchers have developed a powerful new computational tool for predicting the mutations that allow viruses to โ€œescapeโ€ human immunity or vaccines. Its use could negate the need for high-throughput experimental techniques that are currently employed to identify potential mutations that could allow a virus to escape recognition. The computational model, based on models that were originally developed to analyze...
South Africa Bonnie Berger Teresam Przytycka Bryan Bryson Artificial Intelligence Laboratory National Center

Model analyzes how viruses escape the immune system

Credits: Image: CDC, Douglas Jordan, Christine Daniloff, MIT Previous image Next image One reason itโ€™s so difficult to produce effective vaccines against some viruses, including influenza and HIV, is that these viruses mutate very rapidly. This allows them to evade the antibodies generated by a particular vaccine, through a process known as โ€œviral escape.โ€ MIT researchers have now devised a new way to computationally model viral escape, based on models th...
United Kingdom South Africa Bonnie Berger Bryan Bryson Artificial Intelligence Laboratory Department Of Defense
Source: mit.edu

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