Kinetic Network Models
Kinetic Network Model is a computational framework that represents protein conformational dynamics as a graph-based Markov process, where nodes correspond to metastable conformational states and edges encode transition probabilities derived from kinetic data, enabling the quantitative modeling of time-dependent structural transitions in biomolecules.
184
Publications
9.7K
Citations
523
Authors
288
Institutions
Publications per year
2017–2026
44
Variants
Kinetic Network Model
184
1–5 of 184
523
Hong Kong University of Science and Technology, Hong Kong SAR China
7 publications · 238 citations
7
h-index
6
h-index
Rutgers, The State University of New Jersey, United States
5 publications · 383 citations
5
h-index
Rutgers, The State University of New Jersey, United States
4 publications · 326 citations
4
h-index
4
h-index
1–5 of 523
288
Harvard University
Cambridge, United States
7 h-index
12 publications
1.6K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
14 publications
578 citations
University of California, Berkeley
Berkeley, United States
6 h-index
13 publications
346 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
23 publications
874 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
21 publications
1.6K citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
10 publications
292 citations
KU Leuven
Leuven, Belgium
4 h-index
6 publications
211 citations
Saha Institute of Nuclear Physics
Kolkata, India
4 h-index
8 publications
843 citations
1–8 of 288
11 publications · 293 citations
11
h-index
9 publications · 1.3K citations
9
h-index
PNAS · 8 publications · 1.2K citations
8
h-index
7 publications · 249 citations
7
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7 publications · 282 citations
7
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