Active Mixture Identification
Active Mixture Identification is a computational method in library deconvolution that iteratively selects and analyzes sublibraries to identify biologically active compounds by combining experimental feedback with guided sampling strategies.
8
Publications
225
Citations
39
Authors
11
Institutions
Publications per year
2017–2026
2
Parents
8
Dale L. Boger, Jae Kyoo Lee, Joel Goldberg et al. · The Journal of Organic Chemistry · 2000 · 73 citations
Yong Dou, Nan Qu, Bao Wang et al. · European Journal of Pharmaceutical Sciences · 2007 · 30 citations
Douglas W. Phillipson, K. Eric Milgram, Alex I. Yanovsky et al. · Journal of Combinatorial Chemistry · 2002 · 22 citations
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11

University of Alberta
Edmonton, Canada
1 h-index
1 publications
25 citations

Universidade Federal do Rio de Janeiro
Rio de Janeiro, Brazil
1 h-index
4 publications
64 citations

Zhejiang University
Hangzhou, China
1 h-index
5 publications
125 citations
Jilin University
Changchun, China
1 h-index
3 publications
90 citations
Pfizer (United States)
New York, United States
1 h-index
9 publications
198 citations

Fundação Oswaldo Cruz
Rio de Janeiro, Brazil
1 h-index
3 publications
48 citations
Anhui University of Traditional Chinese Medicine
Hefei, China
1 h-index
6 publications
84 citations
Scripps Research Institute
San Diego, United States
1 h-index
4 publications
292 citations
1–8 of 11
1 publications · 16 citations
1
h-index
1 publications · 25 citations
1
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1 publications · 22 citations
1
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1 publications · 14 citations
1
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Repository · 1 publications · 20 citations
1
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