Computational Screening
Computational Screening is a computational method that systematically evaluates large libraries of chemical or biological entities to identify promising candidates for experimental validation in drug discovery, distinguished from other hit identification approaches by its reliance on in silico simulations and predictive modeling rather than physical experimentation.
1.8K
Publications
98.2K
Citations
9.5K
Authors
2.4K
Institutions
Publications per year
2017–2026
1.1K
Variants
In Silico ScreeningVirtual Screening
Parents
1.8K
QSAR Modeling: Where Have You Been? Where Are You Going To?
Artem Cherkasov, Eugene Muratov, Denis Fourches et al. · Journal of Medicinal Chemistry · 2013 · 2.1K citations
1–5 of 1.8K
9.5K
16
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15
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Collaborations Pharmaceuticals (United States), United States
15 publications · 1.2K citations
15
h-index
University of North Carolina at Chapel Hill, United States
13 publications · 4K citations
12
h-index
1–5 of 9.5K
2.4K

Chinese Academy of Sciences
Beijing, China
22 h-index
29 publications
1.5K citations
Northwestern University
Evanston, United States
20 h-index
22 publications
2.2K citations

Centre National de la Recherche Scientifique
Paris, France
20 h-index
29 publications
1.4K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
19 h-index
23 publications
5.3K citations
National University of Singapore
Singapore, Singapore
18 h-index
22 publications
1.5K citations
Technical University of Denmark
Kongens Lyngby, Denmark
18 h-index
18 publications
2.6K citations
University of California, Berkeley
Berkeley, United States
18 h-index
19 publications
3.3K citations
Koç University
Istanbul, Türkiye
17 h-index
20 publications
1.3K citations
1–8 of 2.4K
JCIM · 136 publications · 7.2K citations
49
h-index
39 publications · 6.5K citations
30
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40 publications · 2.1K citations
26
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37 publications · 1.4K citations
23
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39 publications · 1.8K citations
22
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1–5