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hERG classification model based on a combination of support vector machine method and GRIND descriptors
Qiyuan Li,
Flemming Steen Jørgensen
, Tudor Oprea,
Søren Brunak
,
Olivier Taboureau
65
Citations (Scopus)
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Dive into the research topics of 'hERG classification model based on a combination of support vector machine method and GRIND descriptors'. Together they form a unique fingerprint.
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Keyphrases
GRIND Descriptors
100%
Gene Classification
100%
Support Vector Machine Model
100%
Classification Model
100%
Nonblocker
71%
F-measure
57%
Coefficient Correlation
28%
Bioassay Data
14%
Pharmacophore-based
14%
Arrhythmia
14%
In Silico Tools
14%
Torsades Des Pointes
14%
Publicly Available
14%
External Sets
14%
Support Vector Machine Classifier
14%
Regulatory Agencies
14%
Drug pipeline
14%
Binary Classification
14%
Cardiac Toxicity
14%
PubChem
14%
Leave-one-out
14%
Overall Accuracy
14%
Pharmacology, Toxicology and Pharmaceutical Science
Potassium Channel HERG
100%
QT Prolongation
100%
Torsade Des Pointes
100%
Cross-Validation
100%
Cardiotoxicity
100%
Drug Discovery
100%