Rotamer Optimization Algorithms

Rotamer Optimization Algorithms is a computational method in structural biology that determines the optimal side-chain conformations of amino acids in proteins by systematically sampling rotameric states and minimizing energy functions to achieve sterically favorable packing arrangements.

49

Publications

3.6K

Citations

150

Authors

71

Institutions

Publications per year

2017–2026

5

Authors

150

  1. SL
    Stephen L. Mayo

    California Institute of Technology, United States

    5 publications · 461 citations

    5

    h-index

  2. PT
    Pierre Tufféry

    Université Paris Cité, France

    3 publications · 433 citations

    3

    h-index

  3. RL
    Richard Lavery

    Institut de Biologie Physico-Chimique, France

    3 publications · 433 citations

    3

    h-index

  4. DB
    David B. Gordon

    Howard Hughes Medical Institute, United States

    2 publications · 215 citations

    2

    h-index

  5. GK
    Geoffrey K. Hom

    Howard Hughes Medical Institute, United States

    2 publications · 148 citations

    2

    h-index

1–5 of 150

Venues

  1. Journal of Computational Chemistry

    10 publications · 791 citations

    10

    h-index

  2. Bioinformatics

    5 publications · 239 citations

    5

    h-index

  3. Proteins Structure Function and Bioinformatics

    3 publications · 309 citations

    3

    h-index

  4. PLoS Computational Biology

    2 publications · 56 citations

    2

    h-index

  5. Biopolymers

    2 publications · 43 citations

    2

    h-index

1–5