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Editorial

Activity cliff clusters as a source of structure–activity relationship information

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Jürgen Bajorath. (2017) Representation and identification of activity cliffs. Expert Opinion on Drug Discovery 12:9, pages 879-883.
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Markus Dablander, Thierry Hanser, Renaud Lambiotte & Garrett M. Morris. (2023) Exploring QSAR models for activity-cliff prediction. Journal of Cheminformatics 15:1.
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Elham Y. Al-Barghouthy, Areej Abuhammad & Mutasem O. Taha. (2019) QSAR-guided pharmacophore modeling and subsequent virtual screening identify novel TYK2 inhibitor. Medicinal Chemistry Research 28:9, pages 1368-1387.
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Huabin Hu, Dagmar Stumpfe & Jürgen Bajorath. (2018) Rationalizing the Formation of Activity Cliffs in Different Compound Data Sets. ACS Omega 3:7, pages 7736-7744.
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E. V. Radchenko, G. F. Makhaeva, V. A. Palyulin & N. S. Zefirov. 2017. Computational Systems Pharmacology and Toxicology. Computational Systems Pharmacology and Toxicology 120 173 .
Ming Hao, Stephen H. Bryant & Yanli Wang. (2016) Cheminformatics analysis of the AR agonist and antagonist datasets in PubChem. Journal of Cheminformatics 8:1.
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Gisbert Schneider & Petra Schneider. 2016. Frontiers in Molecular Design and Chemical Information Science - Herman Skolnik Award Symposium 2015: Jürgen Bajorath. Frontiers in Molecular Design and Chemical Information Science - Herman Skolnik Award Symposium 2015: Jürgen Bajorath 143 158 .

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