Pseudoknot Prediction

Pseudoknot Prediction is a computational method in RNA structure analysis that identifies non-nested base-pairing interactions in RNA molecules, distinguishing itself from standard secondary structure prediction by explicitly modeling topological dependencies that violate the nested parenthesis assumption.

156

Publications

12.6K

Citations

388

Authors

182

Institutions

Publications per year

2017–2026

32

Authors

388

  1. DH
    David H. Mathews

    University of Rochester Medical Center, United States

    8 publications · 1.3K citations

    8

    h-index

  2. YK
    Yuki Kato

    The University of Tokyo, Japan

    7 publications · 585 citations

    7

    h-index

  3. TA
    Tatsuya Akutsu

    Kyoto University, Japan

    6 publications · 780 citations

    6

    h-index

  4. KS
    Kengo Sato

    Keio University, Japan

    6 publications · 579 citations

    6

    h-index

  5. GD
    Gary D. Stormo

    Washington University in St. Louis, United States

    6 publications · 618 citations

    6

    h-index

1–5 of 388

Venues

  1. Nucleic Acids Research

    18 publications · 1.5K citations

    17

    h-index

  2. Bioinformatics

    15 publications · 1.6K citations

    15

    h-index

  3. BMC Bioinformatics

    11 publications · 599 citations

    11

    h-index

  4. RNA

    10 publications · 1.1K citations

    10

    h-index

  5. Journal of Computational Biology

    10 publications · 637 citations

    10

    h-index

1–5