Combinatorial Lead Generation
Combinatorial Lead Generation is a methodological approach in drug discovery that systematically combines chemical building blocks to create diverse compound libraries for high-throughput screening against biological targets to identify novel lead molecules.
100
Publications
5.1K
Citations
508
Authors
129
Institutions
Publications per year
2017–2026
5
Parents
100
Xiao Qing Lewell, Duncan B. Judd, Michael M. Hann · Journal of Chemical Information and Computer Sciences · 1998 · 701 citations
Luis J. V. Galietta, Mark F. Springsteel, Masahiro Eda et al. · Journal of Biological Chemistry · 2001 · 213 citations · Full text
De Novo Design at the Edge of Chaos
Petra Schneider, Gisbert Schneider · Journal of Medicinal Chemistry · 2016 · 168 citations · Full text
1–5 of 100
508
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Sanford Burnham Prebys Medical Discovery Institute, United States
2 publications · 110 citations
2
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2
h-index
1–5 of 508
129
Scripps Research Institute
San Diego, United States
3 h-index
10 publications
441 citations

Sichuan University
Chengdu, China
3 h-index
7 publications
163 citations
Array BioPharma (United States)
Boulder, United States
3 h-index
3 publications
102 citations

University of Basel
Basel, Switzerland
3 h-index
13 publications
396 citations
University of California San Diego
San Diego, United States
3 h-index
13 publications
706 citations
University of California, Davis
Davis, United States
3 h-index
15 publications
1.8K citations
University of California, San Francisco
San Francisco, United States
2 h-index
4 publications
538 citations
National University of Singapore
Singapore, Singapore
2 h-index
5 publications
638 citations
1–8 of 129
9 publications · 571 citations
8
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Repository · 7 publications · 133 citations
7
h-index
7 publications · 424 citations
7
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JCIM · 5 publications · 258 citations
5
h-index
4 publications · 100 citations
4
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1–5