Selected article for: "feature learning and machine learning"
Author: Thomas Desautels; Adam Zemla; Edmond Lau; Magdalena Franco; Daniel Faissol
Title: Rapid in silico design of antibodies targeting SARS-CoV-2 using machine learning and supercomputing
  • Document date: 2020_4_10
    • ID: kg2j0dqy_15
    Snippet: Details of our computational-experimental platform will be described in greater detail in a future publication, including details on the active machine learning model, the feature space used to represent the three dimensional antigen-antibody interface, and the antibody optimization pipeline. Overall, to generate the initial 20 antibodies, we executed the following steps:.....
    Document: Details of our computational-experimental platform will be described in greater detail in a future publication, including details on the active machine learning model, the feature space used to represent the three dimensional antigen-antibody interface, and the antibody optimization pipeline. Overall, to generate the initial 20 antibodies, we executed the following steps:

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