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Prediction of hERG Channel Inhibition Using In Silico Techniques
- Source :
- Ion Channels and Their Inhibitors ISBN: 9783642199219
- Publication Year :
- 2011
- Publisher :
- Springer Berlin Heidelberg, 2011.
-
Abstract
- Drug-induced long QT syndrome still represents a major risk for late-stage clinical failure of drug candidates. One of the main factors inducing long QT is inhibition of cardiac hERG channels. Early prediction of potential hERG inhibitory activity of hits and lead compounds thus is of major importance in the drug discovery and development process. Both structure- and ligand-based approaches were used to develop models, which shed light on the molecular basis of hERG channel inhibition. In this article, an overview on recent approaches for prediction of hERG channel blockers has been provided.
- Subjects :
- congenital, hereditary, and neonatal diseases and abnormalities
Quantitative structure–activity relationship
biology
Drug discovery
Chemistry
In silico
Long QT syndrome
hERG
Computational biology
medicine.disease
Docking (molecular)
biology.protein
medicine
Channel blocker
cardiovascular diseases
Pharmacophore
Subjects
Details
- ISBN :
- 978-3-642-19921-9
- ISBNs :
- 9783642199219
- Database :
- OpenAIRE
- Journal :
- Ion Channels and Their Inhibitors ISBN: 9783642199219
- Accession number :
- edsair.doi...........901a0f6eac88af314543e8983729f702
- Full Text :
- https://doi.org/10.1007/978-3-642-19922-6_7