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Cited by in F6Publishing
For: Creanza TM, Delre P, Ancona N, Lentini G, Saviano M, Mangiatordi GF. Structure-Based Prediction of hERG-Related Cardiotoxicity: A Benchmark Study. J Chem Inf Model 2021;61:4758-70. [PMID: 34506150 DOI: 10.1021/acs.jcim.1c00744] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Delre P, Lavado GJ, Lamanna G, Saviano M, Roncaglioni A, Benfenati E, Mangiatordi GF, Gadaleta D. Ligand-based prediction of hERG-mediated cardiotoxicity based on the integration of different machine learning techniques. Front Pharmacol 2022;13:951083. [DOI: 10.3389/fphar.2022.951083] [Reference Citation Analysis]
2 Shan M, Jiang C, Qin L, Cheng G. A Review of Computational Methods in Predicting hERG Channel Blockers. ChemistrySelect 2022;7. [DOI: 10.1002/slct.202201221] [Reference Citation Analysis]
3 Goel H, Yu W, Mackerell AD. hERG Blockade Prediction by Combining Site Identification by Ligand Competitive Saturation and Physicochemical Properties. Chemistry 2022;4:630-646. [DOI: 10.3390/chemistry4030045] [Reference Citation Analysis]