Automatic Quantitative Structure-Activity Relationship Modeling to Fill Data Gaps in High-Throughput Screening.
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| Title: | Automatic Quantitative Structure-Activity Relationship Modeling to Fill Data Gaps in High-Throughput Screening. |
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| Authors: | Ciallella HL; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA., Chung E; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA., Russo DP; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA.; Department of Chemistry, Rutgers University, Camden, NJ, USA., Zhu H; Center for Computational and Integrative Biology, Rutgers University, Camden, NJ, USA. hao.zhu99@rutgers.edu.; Department of Chemistry, Rutgers University, Camden, NJ, USA. hao.zhu99@rutgers.edu. |
| Source: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2022; Vol. 2474, pp. 169-187. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Humana Press Country of Publication: United States NLM ID: 9214969 Publication Model: Print Cited Medium: Internet ISSN: 1940-6029 (Electronic) Linking ISSN: 10643745 NLM ISO Abbreviation: Methods Mol Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1940-6029 |
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| DOI: | 10.1007/978-1-0716-2213-1_16 |
