Adaptation Modeling

Adaptation Modeling is a computational framework within signal transduction modeling that specifically characterizes the dynamic mechanisms by which biological systems maintain sensitivity to stimuli through proportional response attenuation following initial activation.

78

Publications

4.7K

Citations

205

Authors

98

Institutions

Publications per year

2017–2026

8

Authors

205

  1. GD
    Giovanna De Palo

    Imperial College London, United Kingdom

    3 publications · 89 citations

    3

    h-index

  2. RG
    Robert G. Endres

    Imperial College London, United Kingdom

    3 publications · 303 citations

    3

    h-index

  3. AM
    Anna Menini

    Scuola Internazionale Superiore di Studi Avanzati, Italy

    2 publications · 59 citations

    2

    h-index

  4. TW
    Thomas Wennekers

    University of Plymouth, United Kingdom

    2 publications · 49 citations

    2

    h-index

  5. ED
    Eduardo D. Sontag

    Rutgers, The State University of New Jersey, United States

    2 publications · 83 citations

    2

    h-index

1–5 of 205

Venues

  1. PLoS Computational Biology

    6 publications · 425 citations

    6

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 4 publications · 592 citations

    4

    h-index

  3. Biophysical Journal

    3 publications · 190 citations

    3

    h-index

  4. PLoS ONE

    2 publications · 41 citations

    2

    h-index

  5. Biosystems

    2 publications · 91 citations

    2

    h-index

1–5