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Items: 1 to 20 of 81

1.

Using computational modeling to predict arrhythmogenesis and antiarrhythmic therapy.

Moreno JD, Clancy CE.

Drug Discov Today Dis Models. 2009 Fall;6(3):71-84.

2.
3.

Lessons learned from multi-scale modeling of the failing heart.

Gomez JF, Cardona K, Trenor B.

J Mol Cell Cardiol. 2015 Dec;89(Pt B):146-59. doi: 10.1016/j.yjmcc.2015.10.016. Epub 2015 Oct 31. Review.

4.

Multi-scale modeling of glycosylation modulation dynamics in cardiac electrical signaling.

Du D, Yang H, Norring SA, Bennett ES.

Conf Proc IEEE Eng Med Biol Soc. 2011;2011:104-7. doi: 10.1109/IEMBS.2011.6089907.

PMID:
22254261
5.

Macromolecular crowding: chemistry and physics meet biology (Ascona, Switzerland, 10-14 June 2012).

Foffi G, Pastore A, Piazza F, Temussi PA.

Phys Biol. 2013 Aug 2;10(4):040301. [Epub ahead of print]

PMID:
23912807
6.

Recent advances in in vivo screening for antiarrhythmic drugs.

MacRae CA.

Expert Opin Drug Discov. 2013 Feb;8(2):131-41. doi: 10.1517/17460441.2013.743990. Epub 2013 Jan 12. Review.

PMID:
23311759
7.

Modulation of HERG potassium channel function by drug action.

Thomas D, Karle CA, Kiehn J.

Ann Med. 2004;36 Suppl 1:41-6.

PMID:
15176423
8.

Future of antiarrhythmic drugs.

Darbar D, Roden DM.

Curr Opin Cardiol. 2006 Jul;21(4):361-7. Review.

PMID:
16755206
9.

Modeling HERG and its interactions with drugs: recent advances in light of current potassium channel simulations.

Recanatini M, Cavalli A, Masetti M.

ChemMedChem. 2008 Apr;3(4):523-35. doi: 10.1002/cmdc.200700264. Review.

PMID:
18224703
10.

Computational modeling of cardiac fibroblasts and fibrosis.

Zeigler AC, Richardson WJ, Holmes JW, Saucerman JJ.

J Mol Cell Cardiol. 2016 Apr;93:73-83. doi: 10.1016/j.yjmcc.2015.11.020. Epub 2015 Dec 1. Review.

PMID:
26608708
11.

Utility of hERG assays as surrogate markers of delayed cardiac repolarization and QT safety.

Gintant GA, Su Z, Martin RL, Cox BF.

Toxicol Pathol. 2006;34(1):81-90.

12.

A critical assessment of combined ligand- and structure-based approaches to HERG channel blocker modeling.

Du-Cuny L, Chen L, Zhang S.

J Chem Inf Model. 2011 Nov 28;51(11):2948-60. doi: 10.1021/ci200271d. Epub 2011 Oct 13.

13.

Predictive in silico modeling for hERG channel blockers.

Aronov AM.

Drug Discov Today. 2005 Jan 15;10(2):149-55. Review.

PMID:
15718164
14.

Recent developments in computational prediction of HERG blockage.

Wang S, Li Y, Xu L, Li D, Hou T.

Curr Top Med Chem. 2013;13(11):1317-26. Review.

PMID:
23675938
15.

In silico predictions of hERG channel blockers in drug discovery: from ligand-based and target-based approaches to systems chemical biology.

Taboureau O, Jørgensen FS.

Comb Chem High Throughput Screen. 2011 Jun 1;14(5):375-87. Review.

PMID:
21470179
16.

Mechanisms of termination of atrial fibrillation by Class I antiarrhythmic drugs: evidence from clinical, experimental, and mathematical modeling studies.

Nattel S, Kneller J, Zou R, Leon LJ.

J Cardiovasc Electrophysiol. 2003 Oct;14(10 Suppl):S133-9. Review.

PMID:
14760915
17.
18.

Cellular electropharmacology of amiodarone.

Kodama I, Kamiya K, Toyama J.

Cardiovasc Res. 1997 Jul;35(1):13-29. Review.

19.

Mechanisms of antiarrhythmic drug actions and their clinical relevance for controlling disorders of cardiac rhythm.

Srivatsa U, Wadhani N, Singh BN.

Curr Cardiol Rep. 2002 Sep;4(5):401-10. Review.

PMID:
12169237
20.

A novel structure-based virtual screening model for the hERG channel blockers.

Du L, Li M, You Q, Xia L.

Biochem Biophys Res Commun. 2007 Apr 20;355(4):889-94. Epub 2007 Feb 22.

PMID:
17331468
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