Michaelis-menten Parameter Estimation

Michaelis-Menten Parameter Estimation is a mathematical modeling technique used in enzyme kinetics that belongs to the class of nonlinear regression methods and is specifically distinguished by its application to estimating the maximum reaction rate and Michaelis constant from saturation-type data according to the Michaelis-Menten equation.

79

Publications

9K

Citations

152

Authors

80

Institutions

Publications per year

2017–2026

4

Authors

152

  1. IN
    I.A. Nimmo

    University of Edinburgh, United Kingdom

    5 publications · 351 citations

    5

    h-index

  2. GL
    Gordon L. Atkins

    University of Edinburgh, United Kingdom

    5 publications · 351 citations

    5

    h-index

  3. RG
    Ronald G. Duggleby

    The University of Queensland, Australia

    4 publications · 253 citations

    4

    h-index

  4. WK
    Weng Kee Wong

    University of California, Los Angeles, United States

    3 publications · 162 citations

    3

    h-index

  5. RJ
    Raymond J. Carroll

    Texas A&M University, United States

    2 publications · 67 citations

    2

    h-index

1–5 of 152

Venues

  1. Biochemical Journal

    BJ · 14 publications · 1.1K citations

    13

    h-index

  2. Biometrics

    4 publications · 384 citations

    4

    h-index

  3. Journal of Theoretical Biology

    4 publications · 136 citations

    4

    h-index

  4. 3

    h-index

  5. Biochemical Education

    2 publications · 93 citations

    2

    h-index

1–5