Computational Allosteric Modeling is a computational framework that predicts and analyzes allosteric interactions within biomolecular systems by integrating structural, dynamic, and energetic information to identify regulatory sites and mechanisms distinct from orthosteric active sites.
155
Publications
7.5K
Citations
621
Authors
257
Institutions
Publications per year
2017–2026
86
Parents
Publications
155
1–5 of 155
Authors
621
- GM
10
h-index
- GC
8
h-index
- PT
6
h-index
- JZ
4
h-index
- HT
4
h-index
1–5 of 621
Institutions
257
Chapman University
Orange, United States
10 h-index
23 publications
557 citations
Southern Methodist University
Dallas, United States
7 h-index
23 publications
753 citations
University of California San Diego
San Diego, United States
7 h-index
15 publications
1.6K citations
Howard Hughes Medical Institute
Chevy Chase, United States
6 h-index
10 publications
1.6K citations
Yale University
New Haven, United States
5 h-index
8 publications
1.2K citations
Bioinformatics Institute
Singapore, Singapore
5 h-index
19 publications
1.5K citations
University of Pavia
Pavia, Italy
5 h-index
10 publications
406 citations
Institució Catalana de Recerca i Estudis Avançats
Barcelona, Spain
5 h-index
6 publications
261 citations
1–8 of 257
Venues
- PLoS Computational Biology
8 publications · 402 citations
8
h-index
- Proceedings of the National Academy of Sciences
PNAS · 8 publications · 1K citations
8
h-index
- Journal of Molecular Biology
JMB · 7 publications · 785 citations
7
h-index
- The Journal of Physical Chemistry B
7 publications · 227 citations
7
h-index
- Journal of Chemical Theory and Computation
JCTC · 6 publications · 372 citations
6
h-index
1–5