Bauer M, Pfennig A, Severus E, Whybrow PC, Angst J, Möller HJ. World Federation of Societies of Biological Psychiatry (WFSBP) guidelines for biological treatment of unipolar depressive disorders, Part 1: Update 2013 on the acute and continuation treatment of unipolar depressive disorders. World J Biol Psychiatry 2013;14:334–85.Web of ScienceGoogle Scholar
Cleare A, Pariante CM, Young AH, Anderson IM, Christmas D, Cowen PJ, et al. Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2008 British Association for Psychopharmacology guidelines. J Psychopharmacol 2015;29:459–525.CrossrefGoogle Scholar
Glinka A, Polak S. The effects of six antipsychotic agents on QTc – An attempt to mimic clinical trial through simulation including variability in the population. Comput Biol Med 2014;47:20–6.CrossrefWeb of ScienceGoogle Scholar
O’Hara T, Virág L, Varró A, Rudy Y. Simulation of the undiseased human cardiac ventricular action potential: model formulation and experimental validation. PLoS Computat Biol 2011;7:e1002061.Web of ScienceCrossrefGoogle Scholar
Harmer AR, Abi-Gerges N, Woods EA, Lawrance CL, Small BG, Small BG, et al. Optimisation and validation of a medium-throughput electrophysiology-based hNav1.5 assay using IonWorks™. J Pharmacol Toxicol Methods 2008;57:30–41.Google Scholar
Park KS, Kong ID, Park KC, Lee JW. Fluoxetine inhibits L-type Ca2+ and transient outward K+ currents in rat ventricular myocytes. Yonsei Med J 1999;40:144–51.Google Scholar
Huang XP, Mangano T, Hufeisen S, Setola V, Roth BL. Identification of human Ether-à-go-go related gene modulators by three screening platforms in an academic drug-discovery setting. ASSAY Drug Dev Technol 2010;8:727–42.CrossrefWeb of ScienceGoogle Scholar
Polak S, Wiśniowska B, Ahamadi M, Mendyk A. Prediction of the hERG potassium channel inhibition potential with use of artificial neural networks. Appl Soft Comput 2011;11:2611–7.Web of ScienceCrossrefGoogle Scholar
Jamei M, Marciniak S, Edwards D, Wragg K, Feng K, Barnett A, et al. The Simcyp population based simulator: architecture, implementation, and quality assurance. In Silico Pharmacol 2013;1:9.Google Scholar
Jornil J, Jensen KG, Larsen F, Linnet K. Risk assessment of accidental nortriptyline poisoning: the importance of cytochrome P450 for nortriptyline elimination investigated using a population-based pharmacokinetic simulator. Eur J Pharm Sci 2011;44:265–72.CrossrefWeb of ScienceGoogle Scholar
Fijorek K, Patel N, Klima Ł, Stolarz-Skrzypek K, Kawecka-Jaszcz K, Polak S. Age and gender dependent heart rate circadian model development and performance verification on the proarrhythmic drug case study. Theor Biol Med Modell 2013;10:7.CrossrefWeb of ScienceGoogle Scholar
Castro VM, Clements CC, Murphy SN, Gainer VS, Fava M, Weilburg JB, et al. QT interval and antidepressant use: a cross sectional study of electronic health records. Br Med J 2013;346:f288.Web of ScienceGoogle Scholar
Jeon SH, Jaekal J, Lee SH, Choi BH, Kim KS, Jeong HS, et al. Effects of nortriptyline on QT prolongation: a safety pharmacology study. Hum Exp Toxicol 2011;30:1649–56.Web of ScienceCrossrefGoogle Scholar
Volders PGA, Vos MA, Szabo B, Sipido KR, de Groot SH, Gorgels AP, et al. Progress in the understanding of cardiac early afterdepolarizations and torsades de pointes: time to revise current concepts. Cardiovasc Res 2000;46:376–92.CrossrefGoogle Scholar
About the article
Published Online: 2016-02-12
Published in Print: 2016-03-01
Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
Research funding: Project was financed by the National Science Centre, Poland, project number 2014/13/N/NZ7/00254.
Employment or leadership: None declared.
Honorarium: None declared.
Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.