Concepedia

Graph-based Side-chain Packing

Graph-Based Side-Chain Packing is a computational method in structural bioinformatics that uses graph theory to model and solve the combinatorial optimization problem of determining optimal side-chain conformations in proteins by representing rotameric states as nodes and steric compatibility as edges within a graph framework.

3

Publications

119

Citations

6

Authors

4

Institutions

Publications per year

2017–2026

1

Parents

Publications

3

1–3 of 3

Authors

6

  1. JB
    J.B. Brown

    Kyoto University, Japan

    1 publications · 16 citations

    1

    h-index

  2. BB
    Bonnie Berger

    Massachusetts Institute of Technology, United States

    1 publications · 93 citations

    1

    h-index

  3. TA
    Tatsuya Akutsu

    Kyoto University, Japan

    1 publications · 16 citations

    1

    h-index

  4. KC
    K. C. Dukka Bahadur

    Kyoto University, Japan

    1 publications · 16 citations

    1

    h-index

  5. JX
    Jinbo Xu

    Toyota Technological Institute at Chicago, United States

    1 publications · 93 citations

    1

    h-index

1–5 of 6

Institutions

4

  1. Kyoto University Institute for Chemical Research

    Kyoto, Japan

    1 h-index

    1 publications

    16 citations

  2. Toyota Technological Institute at Chicago

    Chicago, United States

    1 h-index

    1 publications

    93 citations

  3. Massachusetts Institute of Technology

    Cambridge, United States

    1 h-index

    2 publications

    186 citations

  4. Kyoto University

    Kyoto, Japan

    1 h-index

    1 publications

    16 citations

  5. University of North Carolina at Chapel Hill

    Chapel Hill, United States

    1 publications

    10 citations

1–5 of 4

Venues

  1. PubMed

    Repository · 1 publications · 16 citations

    1

    h-index

  2. Journal of the ACM

    JACM · 1 publications · 93 citations

    1

    h-index

1–3