Selected article for: "false positive prediction and positive prediction"

Author: Lundegaard, Claus; Lund, Ole; Kesmir, Can; Brunak, Søren; Nielsen, Morten
Title: Modeling the adaptive immune system: predictions and simulations
  • Document date: 2007_12_15
  • ID: 5m269nzi_27
    Snippet: Different experimental techniques can be used to define conformational epitopes. Probably the most accurate, and easily defined is using the solved structures of antibody-antigen complexes (Fleury et al., 2000; Mirza et al., 2000) . The amount of this kind of data is unfortunately still scarce, compared to linear epitopes. Furthermore, very few antigens have been studied in a way where all possible epitopes on a given antigen has been identified......
    Document: Different experimental techniques can be used to define conformational epitopes. Probably the most accurate, and easily defined is using the solved structures of antibody-antigen complexes (Fleury et al., 2000; Mirza et al., 2000) . The amount of this kind of data is unfortunately still scarce, compared to linear epitopes. Furthermore, very few antigens have been studied in a way where all possible epitopes on a given antigen has been identified. Unidentified epitopes within the dataset will lower the apparent performance of an accurate prediction method by increasing the apparent false positive rate.

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