Computational Target Prioritization
Computational Target Prioritization is a systematic methodological framework within target identification that employs computational algorithms and data-driven models to rank biological entities based on their potential therapeutic relevance and likelihood of successful drug intervention.
55
Publications
4.2K
Citations
623
Authors
176
Institutions
Publications per year
2017–2026
31
Parents
55
The next-generation Open Targets Platform: reimagined, redesigned, rebuilt
David Ochoa, Andrew Hercules, Miguel Carmona et al. · Nucleic Acids Research · 2022 · 443 citations · Full text
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European Bioinformatics Institute
Cambridge, United Kingdom
6 h-index
111 publications
46K citations
Heidelberg University
Heidelberg, Germany
5 h-index
16 publications
317 citations

Wellcome Sanger Institute
Cambridge, United Kingdom
5 h-index
23 publications
7.5K citations
Open Targets
Cambridge, United Kingdom
4 h-index
132 publications
56.4K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
3 publications
38 citations

Space Telescope Science Institute
Baltimore, United States
3 h-index
3 publications
56 citations
Jet Propulsion Laboratory
Pasadena, United States
3 h-index
3 publications
56 citations

Tel Aviv University
Tel Aviv, Israel
3 h-index
5 publications
132 citations
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5 publications · 1.8K citations
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4 publications · 302 citations
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3 publications · 99 citations
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2 publications · 30 citations
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2 publications · 172 citations
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