Antibody Affinity Optimization

Antibody Affinity Optimization is a computational and experimental methodology within therapeutic antibody development that specifically enhances the binding strength between an antibody and its target antigen through precise modifications of the antibody’s paratope or epitope interaction interface.

213

Publications

13.2K

Citations

1.5K

Authors

391

Institutions

Publications per year

2017–2026

88

Authors

1.5K

  1. KT
    Kouhei Tsumoto

    The University of Tokyo, Japan

    4 publications · 175 citations

    4

    h-index

  2. JB
    Jason Baardsnes

    National Research Council Canada, Canada

    4 publications · 168 citations

    4

    h-index

  3. TS
    Traian Sulea

    Biotechnology Research Institute, Canada

    4 publications · 168 citations

    4

    h-index

  4. LJ
    Lutz Jermutus

    AstraZeneca (Sweden), Sweden

    4 publications · 327 citations

    4

    h-index

  5. PM
    Peter M. Tessier

    Rensselaer Polytechnic Institute, United States

    4 publications · 280 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. mAbs

    17 publications · 767 citations

    15

    h-index

  2. Journal of Immunological Methods

    12 publications · 618 citations

    12

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 11 publications · 1.9K citations

    11

    h-index

  4. PLoS ONE

    9 publications · 433 citations

    9

    h-index

  5. Journal of Molecular Biology

    JMB · 9 publications · 518 citations

    9

    h-index

1–5