Derivation of Highly Predictive 3D-QSAR Models for hERG Channel Blockers Based on the Quantum Artificial Neural Network Algorithm

• 主要な著者: Taeho Kim (著者), Kee-Choo Chung (著者), Hwangseo Park (著者)
• フォーマット: 図書
• 出版事項: MDPI AG, 2023-10-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

The hERG potassium channel serves as an annexed target for drug discovery because the associated off-target inhibitory activity may cause serious cardiotoxicity. Quantitative structure-activity relationship (QSAR) models were developed to predict inhibitory activities against the hERG potassium chan...