Pose Prediction

Pose Prediction is a computational task in molecular docking that identifies the most energetically favorable three-dimensional orientation and conformation of a ligand relative to a target protein, thereby distinguishing it from other docking-related tasks by focusing specifically on the spatial arrangement of molecular complexes.

414

Publications

45.3K

Citations

1.5K

Authors

507

Institutions

Publications per year

2017–2026

266

Authors

1.5K

  1. KY
    Kam Y. J. Zhang

    RIKEN Center for Biosystems Dynamics Research, Japan

    8 publications · 202 citations

    8

    h-index

  2. PF
    Pascal Fua

    École Polytechnique Fédérale de Lausanne, Switzerland

    7 publications · 1.3K citations

    7

    h-index

  3. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    6 publications · 1.1K citations

    6

    h-index

  4. AK
    Ashutosh Kumar

    King George's Medical University, India

    6 publications · 160 citations

    6

    h-index

  5. TH
    Tingjun Hou

    Zhejiang University, China

    6 publications · 647 citations

    6

    h-index

1–5 of 1.5K

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 64 publications · 10.2K citations

    41

    h-index

  2. arXiv (Cornell University)

    Repository · 37 publications · 1.7K citations

    21

    h-index

  3. Journal of Computer-Aided Molecular Design

    26 publications · 1.6K citations

    18

    h-index

  4. Journal of Medicinal Chemistry

    11 publications · 2.1K citations

    11

    h-index

  5. Proteins Structure Function and Bioinformatics

    10 publications · 397 citations

    10

    h-index

1–5