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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
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2018 | 3 |
2019 | 2 |
2024 | 0 |
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Page 1
Identifying de-NEDDylation inhibitors: Virtual high-throughput screens targeting SENP8.
Chem Biol Drug Des. 2019 Apr;93(4):590-604. doi: 10.1111/cbdd.13457. Epub 2019 Feb 12.
Chem Biol Drug Des. 2019.
PMID: 30560590
Virtual high-throughput screens identifying hPK-M2 inhibitors: Exploration of model extrapolation.
Chen JJ, Schmucker LN, Visco DP Jr.
Chen JJ, et al. Among authors: schmucker ln.
Comput Biol Chem. 2019 Feb;78:317-329. doi: 10.1016/j.compbiolchem.2018.12.006. Epub 2018 Dec 23.
Comput Biol Chem. 2019.
PMID: 30623877
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Pharmaceutical Machine Learning: Virtual High-Throughput Screens Identifying Promising and Economical Small Molecule Inhibitors of Complement Factor C1s.
Chen JJ, Schmucker LN, Visco DP.
Chen JJ, et al. Among authors: schmucker ln.
Biomolecules. 2018 May 7;8(2):24. doi: 10.3390/biom8020024.
Biomolecules. 2018.
PMID: 29735903
Free PMC article.
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Identifying new clotting factor XIa inhibitors in virtual high-throughput screens using PCA-GA-SVM models and signature.
Chen JJ, Schmucker LN, Visco DP Jr.
Chen JJ, et al. Among authors: schmucker ln.
Biotechnol Prog. 2018 Nov;34(6):1553-1565. doi: 10.1002/btpr.2693. Epub 2018 Sep 27.
Biotechnol Prog. 2018.
PMID: 30009405
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