Computational Active Site Modeling

Computational Active Site Modeling is a computational methodology that specifically characterizes the three-dimensional arrangement and physicochemical properties of catalytic residues and cofactors within an enzyme's active site to predict and analyze reaction mechanisms and substrate specificity.

119

Publications

6.3K

Citations

450

Authors

205

Institutions

Publications per year

2017–2026

15

Authors

450

  1. VG
    Vı́ctor Guallar

    Universitat Politècnica de Catalunya, Spain

    4 publications · 226 citations

    4

    h-index

  2. SF
    Shunichi Fukuzumi

    The University of Osaka, Japan

    3 publications · 224 citations

    3

    h-index

  3. MJ
    Mary Jo Ondrechen

    Northeastern University, United States

    3 publications · 314 citations

    3

    h-index

  4. LD
    Luca De Gioia

    University of Milano-Bicocca, Italy

    3 publications · 104 citations

    3

    h-index

  5. SI
    Shinobu Itoh

    The University of Osaka, Japan

    3 publications · 224 citations

    3

    h-index

1–5 of 450

Venues

  1. Journal of the American Chemical Society

    JACS · 8 publications · 631 citations

    8

    h-index

  2. International Journal of Quantum Chemistry

    6 publications · 178 citations

    6

    h-index

  3. The Journal of Physical Chemistry B

    5 publications · 320 citations

    5

    h-index

  4. Inorganic Chemistry

    4 publications · 180 citations

    4

    h-index

  5. Biochemistry

    4 publications · 197 citations

    4

    h-index

1–5