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Year Number of Results
2018 3
2019 2
2021 0
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Page 1
Identifying de-NEDDylation inhibitors: Virtual high-throughput screens targeting SENP8.
Chen JJ, Schmucker LN, Visco DP Jr. Chen JJ, et al. Among authors: schmucker ln. 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
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
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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