Binding Pocket Design
Binding Pocket Design is a computational method that specifically enables the de novo creation or optimization of enzyme active sites by tailoring the physicochemical and geometric properties of substrate-binding regions to enhance molecular recognition and catalytic efficiency.
283
Publications
13.6K
Citations
1.8K
Authors
532
Institutions
Publications per year
2017–2026
114
Parents
283
De novo design of luciferases using deep learning
Hsien‐Wei Yeh, Christoffer Norn, Yakov Kipnis et al. · Nature · 2023 · 451 citations · Full text
fpocket: online tools for protein ensemble pocket detection and tracking
Peter Schmidtke, Vincent Le Guilloux, Julien Maupetit et al. · Nucleic Acids Research · 2010 · 296 citations · Full text
Gang Liu, J. T. Link, Zhonghua Pei et al. · Journal of Medicinal Chemistry · 2000 · 218 citations · Full text
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Chinese Academy of Sciences
Beijing, China
12 h-index
48 publications
2.1K citations
University of Cambridge
Cambridge, United Kingdom
10 h-index
49 publications
2.7K citations
Philipps University of Marburg
Marburg, Germany
9 h-index
42 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
54 publications
2.3K citations
Jiangnan University
Wuxi, China
8 h-index
43 publications
1.4K citations
ETH Zurich
Zurich, Switzerland
8 h-index
34 publications
1.2K citations
The University of Texas Southwestern Medical Center
Dallas, United States
7 h-index
33 publications
1.3K citations
University of Washington
Seattle, United States
7 h-index
80 publications
9.2K citations
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27 publications · 1.3K citations
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PS · 10 publications · 390 citations
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JBC · 9 publications · 1.4K citations
9
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9 publications · 486 citations
9
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8 publications · 598 citations
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