Solvent Accessibility Prediction

Solvent Accessibility Prediction is a computational method in structural bioinformatics that identifies the extent to which amino acid residues in a protein are exposed to the surrounding solvent, thereby distinguishing buried from surface-accessible regions to inform protein structure and function modeling.

407

Publications

43.9K

Citations

1.2K

Authors

503

Institutions

Publications per year

2017–2026

74

Authors

1.2K

  1. YZ
    Yaoqi Zhou

    Griffith University, Australia

    21 publications · 2.5K citations

    20

    h-index

  2. BR
    Burkhard Rost

    Columbia University, United States

    13 publications · 2.9K citations

    13

    h-index

  3. LK
    Lukasz Kurgan

    University of Alberta, Canada

    14 publications · 1K citations

    13

    h-index

  4. SA
    Shandar Ahmad

    Kyushu Institute of Technology, Japan

    13 publications · 822 citations

    12

    h-index

  5. MM
    M. Michael Gromiha

    Indian Institute of Technology Madras, India

    9 publications · 1.3K citations

    9

    h-index

1–5 of 1.2K

Venues

  1. Proteins Structure Function and Bioinformatics

    59 publications · 7.6K citations

    36

    h-index

  2. Bioinformatics

    41 publications · 4.2K citations

    27

    h-index

  3. BMC Bioinformatics

    26 publications · 1.6K citations

    21

    h-index

  4. Nucleic Acids Research

    19 publications · 9.2K citations

    19

    h-index

  5. PLoS ONE

    21 publications · 1.8K citations

    18

    h-index

1–5