Computer-aided prediction of QT-prolongation

SAR QSAR Environ Res. Jan-Mar 2008;19(1-2):81-90. doi: 10.1080/10629360701844183.


Drug-induced cardiac arrhythmia is acknowledged as a serious obstacle in successful development of new drugs. Several methods for in silico prediction of acquired long QT syndrome (LQTS) caused by the pharmacological blockade of human hERG K+ channels are discussed in literature. We propose to use the computer program PASS, which estimates the probabilities of about 3000 biological activities, not only for prediction of hERG blockade and QT-prolongation but also for the analysis of indirect mechanisms of these actions. After addition in the PASS training set of 163 compounds with data on QT-Prolongation and re-training, it was shown that accuracy of prediction was 87.1% and 81.8% for hERG blockade and QT-prolongation, respectively. Using computer program PharmaExpert we found that in the predicted biological activity spectra there was a certain correlation between the hERG blockade and some other molecular mechanisms of action. Possible role of 1-phosphatidylinositol-4-phospate 5-kinase, dimethylargininase and progesterone 11 alpha-monooxygenase inhibition in hERG blockade was discussed.

MeSH terms

  • Algorithms
  • Ether-A-Go-Go Potassium Channels / antagonists & inhibitors*
  • Forecasting
  • Humans
  • Long QT Syndrome*
  • Quantitative Structure-Activity Relationship
  • Software*


  • Ether-A-Go-Go Potassium Channels