Hydrophobicity Patterns

Hydrophobicity Patterns is a computational construct in amino acid sequence analysis that identifies and characterizes the non-random spatial distribution of hydrophobic residues along a polypeptide chain to predict structural and functional features such as transmembrane domains or protein folding motifs.

372

Publications

33.3K

Citations

1.3K

Authors

482

Institutions

Publications per year

2017–2026

48

Authors

1.3K

  1. IR
    Irena Roterman

    Jagiellonian University, Poland

    7 publications · 257 citations

    7

    h-index

  2. JM
    Jean‐Paul Mornon

    Centre National de la Recherche Scientifique, France

    6 publications · 1K citations

    6

    h-index

  3. DE
    David Eisenberg

    University of California, Los Angeles, United States

    5 publications · 4K citations

    5

    h-index

  4. LK
    Leszek Konieczny

    Jagiellonian University, Poland

    5 publications · 220 citations

    5

    h-index

  5. JP
    Joseph P. Zbilut

    Rush University, United States

    4 publications · 137 citations

    4

    h-index

1–5 of 1.3K

Venues

  1. Proceedings of the National Academy of Sciences

    PNAS · 21 publications · 3.7K citations

    19

    h-index

  2. Proteins Structure Function and Bioinformatics

    21 publications · 2.9K citations

    17

    h-index

  3. Journal of Biological Chemistry

    JBC · 16 publications · 1.2K citations

    15

    h-index

  4. Protein Science

    PS · 15 publications · 1.3K citations

    14

    h-index

  5. Protein Engineering Design and Selection

    PEDS · 8 publications · 508 citations

    8

    h-index

1–5