Sequence-structure Relationship Analysis

Sequence–Structure Relationship Analysis is a computational methodology in protein sequence analysis that identifies and characterizes the intrinsic relationships between amino acid sequences and their corresponding three-dimensional structures, distinguishing it from other sequence analysis methods by focusing specifically on the predictive and explanatory link between primary sequence information and structural conformation.

409

Publications

55.5K

Citations

1.1K

Authors

462

Institutions

Publications per year

2017–2026

45

Authors

1.1K

  1. JM
    Janet M. Thornton

    University College London, United Kingdom

    6 publications · 484 citations

    6

    h-index

  2. SE
    Steven E. Brenner

    University of California, Berkeley, United States

    6 publications · 7.2K citations

    6

    h-index

  3. JX
    Jinbo Xu

    Toyota Technological Institute at Chicago, United States

    6 publications · 1.9K citations

    6

    h-index

  4. TW
    Tianming Wang

    Dalian University of Technology, China

    5 publications · 99 citations

    5

    h-index

  5. SW
    Sheng Wang

    Toyota Technological Institute at Chicago, United States

    5 publications · 1.8K citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Nucleic Acids Research

    30 publications · 4.8K citations

    25

    h-index

  2. Journal of Molecular Biology

    JMB · 18 publications · 20.1K citations

    18

    h-index

  3. Proteins Structure Function and Bioinformatics

    22 publications · 837 citations

    17

    h-index

  4. Bioinformatics

    22 publications · 2.3K citations

    16

    h-index

  5. Protein Science

    PS · 15 publications · 1.1K citations

    14

    h-index

1–5