Graph-based Molecular Generation

Graph-Based Molecular Generation is a computational method in de novo drug design that constructs molecular structures as graphs by iteratively adding atoms and bonds according to learned chemical constraints and structural patterns.

96

Publications

6.5K

Citations

324

Authors

131

Institutions

Publications per year

2017–2026

81

Authors

324

  1. RM
    Rocío Mercado

    Chalmers University of Technology, Sweden

    8 publications · 389 citations

    8

    h-index

  2. OE
    Ola Engkvist

    AstraZeneca (Sweden), Sweden

    8 publications · 833 citations

    8

    h-index

  3. HC
    Hongming Chen

    AstraZeneca (Sweden), Sweden

    6 publications · 716 citations

    6

    h-index

  4. EJ
    Esben Jannik Bjerrum

    AstraZeneca (Sweden), Sweden

    5 publications · 257 citations

    5

    h-index

  5. EL
    Edvard Lindelöf

    Guangzhou Regenerative Medicine and Health Guangdong Laboratory, China

    5 publications · 257 citations

    5

    h-index

1–5 of 324

Venues

  1. arXiv (Cornell University)

    Repository · 31 publications · 2.4K citations

    21

    h-index

  2. Journal of Cheminformatics

    10 publications · 892 citations

    10

    h-index

  3. Journal of Chemical Information and Modeling

    JCIM · 10 publications · 1.1K citations

    9

    h-index

  4. ChemRxiv

    Repository · 7 publications · 134 citations

    7

    h-index

  5. Nature Communications

    3 publications · 312 citations

    3

    h-index

1–5