research
  • 28 Mar
  • 2025

RAU Students Winners of the Deep Origin Challenge 2025

    Participants had to solve a problem related to molecular modeling using machine learning methods.

    Tatevik Ter-Hovhannisyan, Garnik Khroyan, Gevorg Khachatryan, and Aleksan Hayrapetyan, students of the Institute of Mathematics and Informatics at RAU, took first place in the Deep Origin Challenge 2025 competition and received a cash reward.
     
    As part of the Deep Origin Challenge 2025, participants had to solve a problem related to molecular modeling using machine learning methods. The teams had to predict crucial criteria characterizing drug molecules, which were combined into a unique structure-oriented metric called the DO score for one million molecules.
     
    “Vital drugs often depend on small molecules with precise properties that ensure their safety and effectiveness. Finding suitable molecules is a complex process that largely depends on their three-dimensional structure,” Tatevik Ter-Hovhannisyan said.
     
    It should be noted that the competition was organized by Deep Origin.
     
     

    Translated by Meri Gspoyan,    
    I year Master’s Student in Translation & Interpretation, RAU