Computational Macrocycle Design

Computational Macrocycle Design is a computational methodology that specializes in the rational design and optimization of macrocyclic compounds for drug discovery by leveraging molecular modeling, conformational sampling, and predictive algorithms to address the unique structural and pharmacological challenges posed by large-ring systems.

51

Publications

2K

Citations

307

Authors

109

Institutions

Publications per year

2017–2026

25

Authors

307

  1. SR
    Stephen Rettie

    University of Washington, United States

    3 publications · 194 citations

    3

    h-index

  2. DB
    David Baker

    University of Washington, United States

    3 publications · 161 citations

    3

    h-index

  3. XL
    Xinting Li

    University of Washington, United States

    3 publications · 161 citations

    3

    h-index

  4. MP
    Matthew P. Jacobson

    University of California, San Francisco, United States

    3 publications · 131 citations

    3

    h-index

  5. VP
    Vasanthanathan Poongavanam

    Uppsala University, Sweden

    2 publications · 119 citations

    2

    h-index

1–5 of 307

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 5 publications · 122 citations

    5

    h-index

  2. Journal of the American Chemical Society

    JACS · 4 publications · 217 citations

    4

    h-index

  3. Tetrahedron Letters

    3 publications · 85 citations

    3

    h-index

  4. European Journal of Medicinal Chemistry

    2 publications · 55 citations

    2

    h-index

  5. European Journal of Organic Chemistry

    2 publications · 38 citations

    2

    h-index

1–5