Base Stacking Models

Base Stacking Models is a computational framework in nucleic acid modeling that characterizes the stabilizing interactions between adjacent nucleotide bases in DNA and RNA through spatially dependent, non-covalent forces, distinguished by its focus on vertical stacking energetics and geometric arrangements.

152

Publications

8.9K

Citations

426

Authors

178

Institutions

Publications per year

2017–2026

13

Publications

152

1–5 of 152

Authors

426

  1. PH
    Pavel Hobza

    Czech Academy of Sciences, Institute of Organic Chemistry and Biochemistry, Czechia

    11 publications · 2.1K citations

    10

    h-index

  2. CE
    Charles E. Bugg

    University of Alabama at Birmingham, United States

    4 publications · 216 citations

    4

    h-index

  3. NK
    Noriyuki Kurita

    Toyohashi University of Technology, Japan

    4 publications · 198 citations

    4

    h-index

  4. KK
    Kinya Kobayashi

    Hitachi (Japan), Japan

    3 publications · 156 citations

    3

    h-index

  5. UT
    Ulf Thewalt

    Universität Ulm, Germany

    3 publications · 145 citations

    3

    h-index

1–5 of 426

Venues

  1. Journal of the American Chemical Society

    JACS · 20 publications · 2.1K citations

    18

    h-index

  2. Biopolymers

    10 publications · 601 citations

    10

    h-index

  3. The Journal of Physical Chemistry B

    8 publications · 316 citations

    8

    h-index

  4. Proceedings of the National Academy of Sciences

    PNAS · 7 publications · 759 citations

    7

    h-index

  5. Nucleic Acids Research

    7 publications · 510 citations

    7

    h-index

1–5