Root-mean-square Deviation

Root-Mean-Square Deviation is a metric that quantifies the average magnitude of pairwise distances between corresponding atoms in two structurally aligned macromolecular conformations, serving as a standard measure of structural divergence in three-dimensional molecular superposition.

1.7K

Publications

114.4K

Citations

5.9K

Authors

1.9K

Institutions

Publications per year

2017–2026

487

Variants

Rmsd

Authors

5.9K

  1. PP
    PooGyeon Park

    Pohang University of Science and Technology, South Korea

    11 publications · 480 citations

    10

    h-index

  2. FS
    Faiyaz Shakeel

    King Saud University, Saudi Arabia

    9 publications · 284 citations

    9

    h-index

  3. FY
    Fábio Yuzo Nakamura

    Universidade Estadual de Londrina, Brazil

    9 publications · 422 citations

    9

    h-index

  4. AA
    Andrew A. Flatt

    University of Alabama, United States

    8 publications · 353 citations

    8

    h-index

  5. NH
    Nazrul Haq

    King Saud University, Saudi Arabia

    8 publications · 205 citations

    8

    h-index

1–5 of 5.9K

Venues

  1. Proteins Structure Function and Bioinformatics

    59 publications · 6.5K citations

    38

    h-index

  2. The Journal of Chemical Physics

    53 publications · 2.8K citations

    32

    h-index

  3. Journal of Chemical & Engineering Data

    66 publications · 2.6K citations

    28

    h-index

  4. Journal of Chemical Information and Modeling

    JCIM · 38 publications · 3.8K citations

    27

    h-index

  5. Journal of Computational Chemistry

    26 publications · 3.5K citations

    22

    h-index

1–5