Ligand-protein Docking
Ligand-Protein Docking is a computational method in molecular docking informatics that predicts the three-dimensional binding conformation of a small molecule ligand to a target protein by optimizing intermolecular interactions within a defined binding site.
2K
Publications
168.2K
Citations
7.4K
Authors
2.1K
Institutions
Publications per year
2017–2026
866
2K
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Josh Abramson, Jonas Adler, Jack Dunger et al. · Nature · 2024 · 13.8K citations · Full text
Computational protein–ligand docking and virtual drug screening with the AutoDock suite
Stefano Forli, Ruth Huey, Michael E. Pique et al. · Nature Protocols · 2016 · 2.7K citations · Full text
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7.4K
University of California, San Francisco, United States
26 publications · 4.7K citations
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13
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1–5 of 7.4K
2.1K
Scripps Research Institute
San Diego, United States
38 h-index
140 publications
84.5K citations
University of California, San Francisco
San Francisco, United States
30 h-index
124 publications
28K citations
University of California San Diego
San Diego, United States
24 h-index
86 publications
19.7K citations

Centre National de la Recherche Scientifique
Paris, France
22 h-index
126 publications
6K citations

Chinese Academy of Sciences
Beijing, China
18 h-index
114 publications
7.1K citations

Howard Hughes Medical Institute
Chevy Chase, United States
18 h-index
44 publications
10.9K citations

King Saud University
Riyadh, Saudi Arabia
18 h-index
44 publications
1.7K citations
Boston University
Boston, United States
16 h-index
72 publications
6.5K citations
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JCIM · 150 publications · 16.9K citations
55
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95 publications · 11.7K citations
50
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78 publications · 12.9K citations
49
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54 publications · 20.4K citations
33
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54 publications · 8.2K citations
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