Structure-based Target Prediction

Structure-Based Target Prediction is a computational method in drug-target interaction mapping that leverages the three-dimensional structure of target proteins to infer potential binding partners, distinguishing itself from sequence- or ligand-based approaches by relying on structural complementarity and molecular docking principles.

116

Publications

9.9K

Citations

608

Authors

325

Institutions

Publications per year

2017–2026

53

Authors

608

  1. MR
    Matthias Rarey

    Universität Hamburg, Germany

    3 publications · 693 citations

    3

    h-index

  2. GS
    Gisbert Schneider

    ETH Zurich, Switzerland

    3 publications · 104 citations

    3

    h-index

  3. AB
    Andreas Bender

    University of Cambridge, United Kingdom

    3 publications · 230 citations

    3

    h-index

  4. VN
    Vidya Niranjan

    Visvesvaraya Technological University, India

    2 publications · 66 citations

    2

    h-index

  5. TS
    Torsten Schwede

    University of Basel, Switzerland

    2 publications · 30 citations

    2

    h-index

1–5 of 608

Venues

  1. Journal of Chemical Information and Modeling

    JCIM · 10 publications · 518 citations

    10

    h-index

  2. Proteins Structure Function and Bioinformatics

    7 publications · 119 citations

    7

    h-index

  3. PLoS ONE

    5 publications · 103 citations

    5

    h-index

  4. Bioinformatics

    4 publications · 1.2K citations

    4

    h-index

  5. Journal of Molecular Graphics and Modelling

    4 publications · 214 citations

    4

    h-index

1–5