Energy Function Optimization

Energy Function Optimization is a computational method in structural biology that, within the context of side-chain packing, minimizes an energy function to identify the most thermodynamically stable conformation of amino acid side chains by systematically evaluating and optimizing their rotameric states.

551

Publications

45.8K

Citations

1.6K

Authors

582

Institutions

Publications per year

2017–2026

114

Authors

1.6K

  1. HA
    Harold A. Scheraga

    Cornell University, United States

    10 publications · 1K citations

    10

    h-index

  2. RZ
    Ramin Zabih

    Cornell University, United States

    7 publications · 11.1K citations

    7

    h-index

  3. JL
    Jooyoung Lee

    Korea Institute for Advanced Study, South Korea

    8 publications · 639 citations

    7

    h-index

  4. DR
    Daniel R. Ripoll

    Cornell University, United States

    6 publications · 574 citations

    6

    h-index

  5. AL
    Adam Liwo

    University of Gdańsk, Poland

    6 publications · 705 citations

    6

    h-index

1–5 of 1.6K

Venues

  1. IEEE Transactions on Neural Networks

    16 publications · 968 citations

    15

    h-index

  2. Proteins Structure Function and Bioinformatics

    15 publications · 688 citations

    14

    h-index

  3. Journal of Computational Chemistry

    14 publications · 915 citations

    14

    h-index

  4. IEEE Transactions on Image Processing

    14 publications · 1.6K citations

    12

    h-index

  5. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 10 publications · 655 citations

    10

    h-index

1–5