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    Home > Biochemistry News > Biotechnology News > Artificial intelligence program predicts 98.5% of human protein structure

    Artificial intelligence program predicts 98.5% of human protein structure

    • Last Update: 2021-09-05
    • Source: Internet
    • Author: User
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    A team led by researchers from the British company "Deep Thinking" recently published a report in the British "Nature" magazine that the company's artificial intelligence program "AlphaFold" (AlphaFold) predicts 98.
    5% of the human protein structure, which is helpful for in-depth understanding.
    Key biological information, so as to better carry out drug research and development
    .

    The human proteome refers to the collection of all proteins encoded by the human genome.
    Considering the importance of understanding the human proteome to health and medicine, researchers have been making great efforts to determine the protein structure in it, but it is very difficult to predict the protein structure by ordinary experimental methods.
    Time consuming
    .


    Currently, only one-third of the protein 3D structure in the human genome has been experimentally determined


    "Alpha Fold" is an artificial intelligence program developed by "Deep Thinking" that can be used to predict protein structure
    .


    The company's researchers used "Alpha Fold" to determine the protein structure covering almost the entire human proteome (98.


    Amino acids are subunits that are linked to form proteins
    .


    The researchers also let "Alpha Fold" give a reliable prediction of 58% of the amino acid structural positions of the human proteome; among them, 35.


    Demis Hassabis, one of the author of the report and the co-founder of "Deep Thinking", said in an article that it is only after understanding the structure of a machine that it is clear what it can do, so in-depth analysis of protein structure is helpful For us to understand its function
    .


    Researchers can also benefit from finding treatments for diseases and coping with major challenges faced by human society, including antibiotic resistance, microplastic pollution and climate change


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