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    Home > Active Ingredient News > Drugs Articles > Another breakthrough after AlphaFold!

    Another breakthrough after AlphaFold!

    • Last Update: 2021-09-13
    • Source: Internet
    • Author: User
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    Determining the three-dimensional structure of biomolecules is one of the biggest challenges in modern biology


    AlphaFold on the cover of Nature magazine

    In the past two years, the application of artificial intelligence (AI) technology in the structure prediction of biological macromolecules has attracted more and more attention


    Source: Nature

    Proteins are vital to life, and understanding their three-dimensional structure is the key to understanding their functions


    RoseTTAFold system on the cover of Science magazine

    In addition to AlphaFold, another system called RoseTTAFold developed by the research team at the University of Washington has also made important progress in predicting protein structure


    AI reveals RNA structure on the cover of Science Magazine | AI algorithm selects the three-dimensional shape of RNA molecule from a large number of wrong and wrong shapes


    While AI technology has solved major challenges in the field of protein structure analysis for decades, scientists from Stanford University have also applied AI technology to RNA structure prediction


    Source: Science

    RNA molecules are usually folded into complex three-dimensional shapes, which are critical to their function, but it is therefore difficult to determine the structure of RNA through experimental means


    ARES network (Source: Science)

    In this new study, Raphael JL Townshend et al.


    ARES shows the highest level of blind RNA structure prediction (Source: Science)

    ARES learns to identify key features of RNA structures that are not previously described (Source: Science)

    Scientists believe that this machine learning method is expected to accelerate the deciphering of the RNA molecular structure, thereby helping to find drugs for the treatment of diseases that are currently incurable, such as the development of RNA targeted therapies


    In addition, the scientists emphasized that most recent advances in deep learning require large amounts of data for training


    Reference materials:

    References: References:

    [1] Kathryn Tunyasuvunakool et al.


    [1] [1] Kathryn Tunyasuvunakool et al.


    [2] [2] Minkyung Baek et al.


    [3] [3] Raphael JL Townshend et al.


    [4] [4]Researcher sunveil'phenomenal' new AI for predicting protein structures (Source: Science)

    [5] Stanford machine learning algorithm predicts biological structures more accurately than ever before (Source: Stanford University)

    [5] [5] Stanford machine learning algorithm predicts biological structures more accurately than ever before (Source: Stanford University)
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