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

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...

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Detalles Bibliográficos
Autores principales: Kim, Taeho, Chung, Kee-Choo, Park, Hwangseo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675541/
https://www.ncbi.nlm.nih.gov/pubmed/38004375
http://dx.doi.org/10.3390/ph16111509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675541/
https://www.ncbi.nlm.nih.gov/pubmed/38004375
http://dx.doi.org/10.3390/ph16111509

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