Aggregation Hotspots

Aggregation Hotspots is a computational method in developability assessment that identifies specific regions within a protein sequence prone to intermolecular aggregation by analyzing local physicochemical properties and sequence-based descriptors distinct from global stability metrics.

23

Publications

3K

Citations

114

Authors

63

Institutions

Publications per year

2017–2026

9

Authors

114

  1. MV
    Michele Vendruscolo

    University of Cambridge, United Kingdom

    3 publications · 623 citations

    3

    h-index

  2. PR
    Puneet Rawat

    Indian Institute of Technology Madras, India

    2 publications · 91 citations

    2

    h-index

  3. VK
    Veysel Kayser

    The University of Sydney, Australia

    2 publications · 283 citations

    2

    h-index

  4. BL
    Bernhardt L. Trout

    Massachusetts Institute of Technology, United States

    2 publications · 283 citations

    2

    h-index

  5. BH
    Bernhard Helk

    Novartis (Switzerland), Switzerland

    2 publications · 283 citations

    2

    h-index

1–5 of 114

Venues

  1. Scientific Reports

    4 publications · 217 citations

    3

    h-index

  2. Nature Communications

    2 publications · 99 citations

    2

    h-index

  3. Nucleic Acids Research

    2 publications · 324 citations

    2

    h-index

  4. Journal of Molecular Biology

    JMB · 2 publications · 500 citations

    2

    h-index

  5. PLoS ONE

    1 publications · 73 citations

    1

    h-index

1–5