Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction

Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction

<p dir="ltr">The human ether-a-go-go-related (hERG) gene is crucial in enabling the regulation of repolarisation process in the heart. Some chemicals act as hERG blockers, resulting in prolonged QT intervals. Predicting the binding capability of molecules with hERG channels is expect...

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Bibliographic Details
Main Author: Syed Mohammad (21075689) (author)
Other Authors: Vaisali Chandrasekar (16904526) (author), Omar Aboumarzouk (18427923) (author), Ajay Vikram Singh (22501868) (author), Sarada Prasad Dakua (22501871) (author)
Published: 2025
Subjects:
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Pharmacology and pharmaceutical sciences
Health sciences
Health services and systems
Information and computing sciences
Machine learning
hERG
machine learning
cardiotoxicity
prediction
Fingerprint recognition
Feature extraction
Compounds
Classification algorithms
Chemicals
Training
Principal component analysis
Drugs
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