Computational Hit Identification
Computational Hit Identification is a systematic approach in drug discovery that, as a distinct methodological framework, leverages computational models and algorithms to prioritize biologically active compounds from large-scale chemical or biological datasets based on specific molecular interaction criteria and target engagement predictions.
95
Publications
4.2K
Citations
639
Authors
246
Institutions
Publications per year
2017–2026
55
Parents
95
Paul A. Brough, Xavier Barril, Jenifer Borgognoni et al. · Journal of Medicinal Chemistry · 2009 · 173 citations · Full text
Sudip Mondal, Evan Hegarty, Chris Martin et al. · Nature Communications · 2016 · 128 citations · Full text
Ludovic Chaput, Juan Martinez‐Sanz, Nicolas Saettel et al. · Journal of Cheminformatics · 2016 · 124 citations · Full text
1–5 of 95
246
University of Bonn
Bonn, Germany
5 h-index
10 publications
352 citations
Schrodinger (United States)
New York, United States
4 h-index
21 publications
1.4K citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
10 publications
644 citations
Johns Hopkins University Center for AIDS Research
Baltimore, United States
3 h-index
3 publications
39 citations

Magna Graecia University
Catanzaro, Italy
3 h-index
19 publications
474 citations
Bayer (Germany)
Leverkusen, Germany
3 h-index
12 publications
1.1K citations
AstraZeneca (Sweden)
Södertälje, Sweden
3 h-index
8 publications
272 citations

Howard University
Washington, United States
3 h-index
3 publications
39 citations
1–8 of 246
JCIM · 16 publications · 572 citations
13
h-index
7 publications · 384 citations
7
h-index
5 publications · 216 citations
5
h-index
4 publications · 202 citations
4
h-index
3 publications · 134 citations
3
h-index
1–5