Template-based Modeling

Template-Based Modeling is a protein structure prediction method that belongs to the class of comparative modeling techniques, in which the three-dimensional structure of a target protein is inferred based on the known structure of evolutionarily related proteins (templates) identified through sequence homology.

449

Publications

70.1K

Citations

1.4K

Authors

504

Institutions

Publications per year

2017–2026

129

Authors

1.4K

  1. YZ
    Yang Zhang

    University of Michigan, United States

    18 publications · 2.7K citations

    18

    h-index

  2. AK
    Andriy Kryshtafovych

    University of California, Davis, United States

    16 publications · 2.1K citations

    16

    h-index

  3. TS
    Torsten Schwede

    University of Basel, Switzerland

    14 publications · 14.2K citations

    13

    h-index

  4. JX
    Jinbo Xu

    Toyota Technological Institute at Chicago, United States

    13 publications · 3K citations

    13

    h-index

  5. JC
    Jianlin Cheng

    University of Missouri, United States

    14 publications · 821 citations

    13

    h-index

1–5 of 1.4K

Venues

  1. Proteins Structure Function and Bioinformatics

    116 publications · 11.5K citations

    54

    h-index

  2. Nucleic Acids Research

    35 publications · 21.7K citations

    29

    h-index

  3. Bioinformatics

    38 publications · 2.4K citations

    25

    h-index

  4. BMC Bioinformatics

    15 publications · 588 citations

    14

    h-index

  5. PLoS Computational Biology

    12 publications · 932 citations

    12

    h-index

1–5