Enzyme Function Prediction

Enzyme Function Prediction is the computational task of inferring the catalytic activity and biological role of an enzyme based on its sequence, structure, or evolutionary features, distinguishing it from related bioinformatics tasks by focusing specifically on the molecular function encoded by enzyme-coding genes.

176

Publications

14.4K

Citations

685

Authors

290

Institutions

Publications per year

2017–2026

68

Authors

685

  1. JS
    Jeffrey Skolnick

    Georgia Institute of Technology, United States

    8 publications · 854 citations

    8

    h-index

  2. PC
    Patricia C. Babbitt

    University of California, San Francisco, United States

    6 publications · 421 citations

    6

    h-index

  3. AK
    Adrián K. Arakaki

    Georgia Institute of Technology, United States

    5 publications · 278 citations

    5

    h-index

  4. DS
    Dietmar Schomburg

    Technische Universität Braunschweig, Germany

    5 publications · 1K citations

    5

    h-index

  5. SC
    Steven C. Almo

    Albert Einstein College of Medicine, United States

    5 publications · 487 citations

    5

    h-index

1–5 of 685

Venues

  1. Bioinformatics

    15 publications · 1K citations

    14

    h-index

  2. BMC Bioinformatics

    15 publications · 818 citations

    13

    h-index

  3. Nucleic Acids Research

    8 publications · 1.3K citations

    8

    h-index

  4. Biochemistry

    6 publications · 1.1K citations

    6

    h-index

  5. PLoS ONE

    6 publications · 228 citations

    6

    h-index

1–5