Model Predictivity Assessment

Model Predictivity Assessment is a methodological framework used in pharmacophore validation to evaluate the accuracy and generalizability of a pharmacophore model in predicting the biological activity of unseen compounds by assessing its performance on external test sets or cross-validation metrics.

527

Publications

82.6K

Citations

1.9K

Authors

696

Institutions

Publications per year

2017–2026

168

Authors

1.9K

  1. KR
    Kunal Roy

    Jadavpur University, India

    20 publications · 4.5K citations

    18

    h-index

  2. UN
    Ulf Norinder

    AstraZeneca (Sweden), Sweden

    13 publications · 668 citations

    13

    h-index

  3. PG
    Paola Gramatica

    University of Insubria, Italy

    12 publications · 7.6K citations

    12

    h-index

  4. IM
    Indrani Mitra

    Jadavpur University, India

    9 publications · 2.3K citations

    9

    h-index

  5. AB
    Andreas Bender

    University of Cambridge, United Kingdom

    9 publications · 688 citations

    9

    h-index

1–5 of 1.9K

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 53 publications · 7.1K citations

    35

    h-index

  2. SAR and QSAR in environmental research

    22 publications · 666 citations

    18

    h-index

  3. Journal of Chemometrics

    16 publications · 2.6K citations

    15

    h-index

  4. Molecular Pharmaceutics

    13 publications · 762 citations

    13

    h-index

  5. Journal of Medicinal Chemistry

    12 publications · 870 citations

    12

    h-index

1–5