Computational Peptide Design

Computational Peptide Design is a systematic approach in computational biology that employs algorithmic and biophysical modeling techniques to rationally construct novel peptide sequences with desired therapeutic properties, distinguishing it from experimental or empirical peptide discovery methods by its reliance on in silico prediction and optimization.

400

Publications

23.9K

Citations

1.8K

Authors

729

Institutions

Publications per year

2017–2026

222

Authors

1.8K

  1. GP
    Gajendra P. S. Raghava

    Institute of Microbial Technology, India

    15 publications · 2K citations

    15

    h-index

  2. GS
    Gisbert Schneider

    ETH Zurich, Switzerland

    13 publications · 814 citations

    13

    h-index

  3. JA
    Jan A. Hiss

    ETH Zurich, Switzerland

    9 publications · 651 citations

    9

    h-index

  4. CK
    Carol K. Hall

    North Carolina State University, United States

    8 publications · 155 citations

    8

    h-index

  5. XX
    Xingqing Xiao

    North Carolina State University, United States

    8 publications · 155 citations

    8

    h-index

1–5 of 1.8K

Venues

  1. Scientific Reports

    17 publications · 1.9K citations

    17

    h-index

  2. Journal of Molecular Biology

    JMB · 12 publications · 604 citations

    12

    h-index

  3. PLoS ONE

    11 publications · 1.3K citations

    11

    h-index

  4. Journal of Chemical Information and Modeling

    JCIM · 12 publications · 691 citations

    11

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 11 publications · 410 citations

    10

    h-index

1–5