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  • Predicting sequence from structure

    Posted:
    February 15, 2019

    Researchers have devised a faster, more efficient way to design custom peptides and perturb protein-protein interactions. One way to probe intricate biological systems is to block their components from interacting and see what happens. This method allows researchers to better understand cellular processes and functions, augmenting everyday laboratory experiments, diagnostic assays, and therapeutic interventions. As…

    Read more: Predicting sequence from structure

  • Using machine learning to improve subseasonal climate forecasting

    Posted:
    March 11, 2019
    climate-model-cohen-mit_0

    Professor of biology Ernest Fraenkel and former visiting scientist Judah Cohen win the Sub-Seasonal Climate Forecast Rodeo competition. Judah Cohen, director of seasonal forecasting at AER (Atmospheric and Environmental Research) and former visiting scientist in MIT's Department of Civil and Environmental Engineering, and Ernest Fraenkel, professor of biological engineering at MIT, have won first place…

    Read more: Using machine learning to improve subseasonal climate forecasting

  • Mapping the brain at high resolution

    Posted:
    January 17, 2019
    Boyden MIT-Brain-Mapping-ANI

    New 3-D imaging technique can reveal, much more quickly than other methods, how neurons connect throughout the brain. Researchers have developed a new way to image the brain with unprecedented resolution and speed. Using this approach, they can locate individual neurons, trace connections between them, and visualize organelles inside neurons, over large volumes of brain…

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