Scoring Function Optimization
Scoring Function Optimization is a computational methodology within protein-ligand docking that systematically refines the mathematical model used to predict binding affinity in order to enhance the accuracy of identifying optimal ligand conformations.
337
Publications
71.3K
Citations
1.2K
Authors
466
Institutions
Publications per year
2017–2026
101
Parents
337
1–5 of 337
1.2K
6
h-index
5
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Pontifícia Universidade Católica do Rio Grande do Sul, Brazil
5 publications · 288 citations
5
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5
h-index
5
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1–5 of 1.2K
466

Chinese Academy of Sciences
Beijing, China
13 h-index
75 publications
2.4K citations

Centre National de la Recherche Scientifique
Paris, France
11 h-index
21 publications
1.7K citations
University of California, San Francisco
San Francisco, United States
10 h-index
41 publications
10.2K citations
Shanghai Institute of Materia Medica
Pudong, China
8 h-index
63 publications
2.4K citations
Stanford University
Stanford, United States
7 h-index
22 publications
881 citations
Sanofi (Germany)
Frankfurt am Main, Germany
6 h-index
21 publications
792 citations

Howard Hughes Medical Institute
Chevy Chase, United States
6 h-index
17 publications
1.5K citations
Dalian University of Technology
Dalian, China
6 h-index
29 publications
1.1K citations
1–8 of 466
JCIM · 47 publications · 5.6K citations
28
h-index
26 publications · 2.9K citations
19
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17 publications · 1.1K citations
15
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10 publications · 37.8K citations
10
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10 publications · 3.1K citations
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