Loop Classification

Loop Classification is a computational method in structural bioinformatics that distinguishes protein loop conformations based on geometric and topological features to categorize them into structurally distinct groups.

40

Publications

2.7K

Citations

113

Authors

79

Institutions

Publications per year

2017–2026

4

Authors

113

  1. EQ
    Enrique Querol

    Universitat Autònoma de Barcelona, Spain

    3 publications · 241 citations

    3

    h-index

  2. NF
    Narcís Fernández‐Fuentes

    Aberystwyth University, United Kingdom

    3 publications · 94 citations

    3

    h-index

  3. AG
    Alexandre G. de Brevern

    Inserm, France

    3 publications · 113 citations

    3

    h-index

  4. CM
    Charlotte M. Deane

    University of Oxford, United Kingdom

    3 publications · 112 citations

    3

    h-index

  5. BO
    Baldomero Oliva

    Universitat Pompeu Fabra, Spain

    3 publications · 241 citations

    3

    h-index

1–5 of 113

Venues

  1. Journal of Molecular Biology

    JMB · 6 publications · 839 citations

    6

    h-index

  2. Nucleic Acids Research

    5 publications · 389 citations

    5

    h-index

  3. BMC Bioinformatics

    2 publications · 101 citations

    2

    h-index

  4. Protein Engineering Design and Selection

    PEDS · 2 publications · 73 citations

    2

    h-index

  5. Protein Science

    PS · 2 publications · 135 citations

    2

    h-index

1–5