Sirvi Autor "Lehes, Caroline" järgi

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    Tehisintellektil põhinev valgu kolmemõõtmelise struktuuri ennustamise tarkvara AlphaFold2
    (Tartu Ülikool, 2025) Lehes, Caroline; Remm, Maido, juhendaja; Tartu Ülikool. Loodus- ja täppisteaduste valdkond; Tartu Ülikool. Arvutiteaduse instituut
    The aim of this thesis is to investigate which algorithmic innovations have enabled the artificial intelligence–based protein structure prediction model AlphaFold2 to achieve significantly higher accuracy compared to earlier approaches. First, an overview is given of the hierarchical levels of protein structure and the experimental methods used for structure determination. The following section focuses on the algorithmic architecture of AlphaFold2 and its deep learning–based working principles. The practical part aims to demonstrate a potential use case in research: the three-dimensional structure of a hypothetical bacteriophage protein is predicted using the ColabFold (Mirdita et al., 2022) environment, and structurally similar proteins are searched with FoldSeek (van Kempen et al., 2023) to infer the protein’s potential function.