Nuclear Receptor Modeling

Nuclear Receptor Modeling is a computational or mathematical framework that characterizes the structural, functional, and dynamic properties of nuclear receptors—ligand-activated transcription factors regulating gene expression—by integrating molecular interactions, conformational changes, and signaling pathways to predict receptor behavior under physiological or pathological conditions.

56

Publications

2.8K

Citations

247

Authors

112

Institutions

Publications per year

2017–2026

18

Authors

247

  1. IP
    Igor Polikarpov

    Universidade de São Paulo, Brazil

    3 publications · 173 citations

    3

    h-index

  2. JW
    Jean‐Marie Wurtz

    Institut de génétique et de biologie moléculaire et cellulaire, France

    2 publications · 74 citations

    2

    h-index

  3. KA
    Kathleen A. Durkin

    University of California, Berkeley, United States

    2 publications · 75 citations

    2

    h-index

  4. LM
    Leandro Martı́nez

    Universidade Estadual de Campinas (UNICAMP), Brazil

    2 publications · 99 citations

    2

    h-index

  5. LK
    Lukman K. Akinola

    Ahmadu Bello University, Nigeria

    2 publications · 35 citations

    2

    h-index

1–5 of 247

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 3 publications · 58 citations

    3

    h-index

  2. Molecules

    3 publications · 99 citations

    3

    h-index

  3. Journal of Medicinal Chemistry

    3 publications · 122 citations

    3

    h-index

  4. Nucleic Acids Research

    3 publications · 166 citations

    3

    h-index

  5. The Journal of Physical Chemistry B

    3 publications · 159 citations

    3

    h-index

1–5