Induced-fit Modeling
Induced-Fit Modeling is a computational framework in receptor modeling that describes the dynamic structural adaptation of a biomolecular binding site upon ligand interaction, distinguishing itself from rigid-body docking approaches by explicitly accounting for conformational changes in both the receptor and ligand during complex formation.
190
Publications
15.2K
Citations
826
Authors
336
Institutions
Publications per year
2017–2026
56
190
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Centre National de la Recherche Scientifique
Paris, France
7 h-index
32 publications
1.1K citations
Columbia University
New York, United States
6 h-index
18 publications
12.2K citations
Schrodinger (United States)
New York, United States
6 h-index
28 publications
15.3K citations
University of California San Diego
San Diego, United States
5 h-index
11 publications
670 citations
Scripps Research Institute
San Diego, United States
5 h-index
12 publications
851 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
8 publications
622 citations
ETH Zurich
Zurich, Switzerland
4 h-index
18 publications
866 citations

Weizmann Institute of Science
Rehovot, Israel
4 h-index
9 publications
634 citations
1–8 of 336
JCIM · 14 publications · 436 citations
13
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13 publications · 429 citations
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JACS · 11 publications · 669 citations
11
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PNAS · 11 publications · 2.1K citations
11
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10 publications · 2.7K citations
10
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