Clonal Selection Modeling

Clonal Selection Modeling is a computational framework within immune system modeling that formalizes the clonal selection theory by simulating the activation, proliferation, and differentiation of lymphocytes in response to antigenic stimuli, distinguishing itself through its focus on affinity-based selection and mutation mechanisms in adaptive immune responses.

61

Publications

4.2K

Citations

153

Authors

77

Institutions

Publications per year

2017–2026

10

Authors

153

  1. GI
    George I. Bell

    Los Alamos National Laboratory, United States

    4 publications · 355 citations

    4

    h-index

  2. JD
    Jonathan Desponds

    Centre National de la Recherche Scientifique, France

    2 publications · 65 citations

    2

    h-index

  3. SG
    Shangce Gao

    University of Toyama, Japan

    2 publications · 33 citations

    2

    h-index

  4. MP
    Mario Pavone

    University of Catania, Italy

    2 publications · 74 citations

    2

    h-index

  5. FM
    F. M. Bürnet

    Walter and Eliza Hall Institute of Medical Research, Australia

    2 publications · 1K citations

    2

    h-index

1–5 of 153

Venues

  1. Journal of Theoretical Biology

    4 publications · 959 citations

    4

    h-index

  2. Canadian Journal of Forest Research

    2 publications · 51 citations

    2

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 58 citations

    2

    h-index

  4. Applied Soft Computing

    2 publications · 48 citations

    2

    h-index

  5. Nature

    2 publications · 79 citations

    2

    h-index

1–5