Computational Synthesis Planning

Computational Synthesis Planning is a computational method that systematically identifies feasible synthetic routes to a target molecule by applying algorithms to evaluate and prioritize chemical transformations within the broader context of synthetic accessibility optimization.

107

Publications

11.9K

Citations

370

Authors

160

Institutions

Publications per year

2017–2026

68

Variants

CaspComputer-aided Synthesis Planning

Authors

370

  1. CW
    Connor W. Coley

    Massachusetts Institute of Technology, United States

    10 publications · 2.3K citations

    10

    h-index

  2. BA
    Bartosz A. Grzybowski

    Northwestern University, United States

    9 publications · 766 citations

    9

    h-index

  3. JR
    Jean‐Louis Reymond

    University of Bern, Switzerland

    7 publications · 625 citations

    7

    h-index

  4. OE
    Ola Engkvist

    AstraZeneca (Sweden), Sweden

    6 publications · 783 citations

    6

    h-index

  5. SS
    Sara Szymkuć

    Polish Academy of Sciences, Poland

    6 publications · 533 citations

    6

    h-index

1–5 of 370

Venues

  1. Science

    6 publications · 1.4K citations

    6

    h-index

  2. Chemical Science

    6 publications · 610 citations

    6

    h-index

  3. ChemRxiv

    Repository · 5 publications · 275 citations

    5

    h-index

  4. Nature Communications

    5 publications · 425 citations

    5

    h-index

  5. Journal of Chemical Information and Modeling

    JCIM · 4 publications · 528 citations

    4

    h-index

1–5