Physicochemical Property Filtering

Physicochemical Property Filtering is a computational method that, as a part of drug-likeness assessment, selects or prioritizes compounds based on their adherence to empirically derived ranges of physicochemical properties such as molecular weight, lipophilicity, solubility, and ionization state, thereby distinguishing it from other filtering approaches by focusing exclusively on quantifiable molecular characteristics predictive of pharmacokinetic and pharmacodynamic behavior.

26

Publications

1.5K

Citations

125

Authors

61

Institutions

Publications per year

2017–2026

11

Authors

125

  1. AR
    Anwar Rayan

    Al-Qasemi Academic College of Education, Israel

    2 publications · 50 citations

    2

    h-index

  2. MP
    Matic Proj

    University of Ljubljana, Slovenia

    1 publications · 23 citations

    1

    h-index

  3. TH
    Tingjun Hou

    Zhejiang University, China

    1 publications · 84 citations

    1

    h-index

  4. MM
    Masahiro Mochizuki

    BoZo Research Center (Japan), Japan

    1 publications · 18 citations

    1

    h-index

  5. TS
    Tanja Schirmeister

    Johannes Gutenberg University Mainz, Germany

    1 publications · 18 citations

    1

    h-index

1–5 of 125

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 3 publications · 121 citations

    3

    h-index

  2. Journal of Pharmaceutical Sciences

    2 publications · 58 citations

    2

    h-index

  3. ˜Die œPharmazie

    2 publications · 117 citations

    2

    h-index

  4. 2

    h-index

  5. Artificial Intelligence in Medicine

    AIM · 1 publications · 15 citations

    1

    h-index

1–5