Structure-based Target Prediction
Structure-Based Target Prediction is a computational method in drug-target interaction mapping that leverages the three-dimensional structure of target proteins to infer potential binding partners, distinguishing itself from sequence- or ligand-based approaches by relying on structural complementarity and molecular docking principles.
116
Publications
9.9K
Citations
608
Authors
325
Institutions
Publications per year
2017–2026
53
116
Predicting new molecular targets for known drugs
Michael J. Keiser, Vincent Setola, John J. Irwin et al. · Nature · 2009 · 1.7K citations
Shaping the interaction landscape of bioactive molecules
David Gfeller, Olivier Michielin, Vincent Zoete · Bioinformatics · 2013 · 503 citations · Full text
Potent effect of target structure on microRNA function
Dang Long, Rosalind Lee, Peter T. Williams et al. · Nature Structural & Molecular Biology · 2007 · 424 citations
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325

Chinese Academy of Sciences
Beijing, China
7 h-index
23 publications
1.7K citations
University of Chinese Academy of Sciences
Beijing, China
5 h-index
20 publications
1.8K citations
Shanghai Institute of Materia Medica
Pudong, China
4 h-index
31 publications
2.5K citations
Universität Hamburg
Hamburg, Germany
4 h-index
13 publications
2.9K citations
Inserm
Paris, France
3 h-index
8 publications
161 citations

Nankai University
Tianjin, China
3 h-index
14 publications
596 citations
East China University of Science and Technology
Shanghai, China
3 h-index
19 publications
748 citations

SIB Swiss Institute of Bioinformatics
Lausanne, Switzerland
3 h-index
5 publications
1.5K citations
1–8 of 325
JCIM · 10 publications · 518 citations
10
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7 publications · 119 citations
7
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5 publications · 103 citations
5
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4 publications · 1.2K citations
4
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4 publications · 214 citations
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