Molecular Property Optimization

Molecular Property Optimization is a computational or experimental methodology within drug discovery that systematically refines the physicochemical and structural attributes of a lead compound to enhance its pharmacokinetic, pharmacodynamic, and safety profiles while maintaining target activity during preclinical candidate selection.

311

Publications

23.2K

Citations

2.3K

Authors

489

Institutions

Publications per year

2017–2026

140

Authors

2.3K

  1. TH
    Tingjun Hou

    Zhejiang University, China

    3 publications · 73 citations

    5

    h-index

  2. EJ
    Esben Jannik Bjerrum

    AstraZeneca (Sweden), Sweden

    5 publications · 172 citations

    5

    h-index

  3. OE
    Ola Engkvist

    AstraZeneca (Sweden), Sweden

    5 publications · 194 citations

    5

    h-index

  4. DN
    David N. Beratan

    Duke University, United States

    4 publications · 340 citations

    4

    h-index

  5. PD
    Paul D. Leeson

    Merck & Co., Inc., Rahway, NJ, USA (United States), United States

    4 publications · 1.8K citations

    4

    h-index

1–5 of 2.3K

Venues

  1. Journal of Medicinal Chemistry

    55 publications · 5K citations

    37

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 19 publications · 880 citations

    17

    h-index

  3. ACS Medicinal Chemistry Letters

    12 publications · 777 citations

    13

    h-index

  4. Bioorganic & Medicinal Chemistry Letters

    16 publications · 564 citations

    13

    h-index

  5. arXiv (Cornell University)

    Repository · 14 publications · 681 citations

    12

    h-index

1–5