Computer-aided estimation of the hERG-mediated cardiotoxicity risk of potential drug components.
Dokl Biochem Biophys
; 473(1): 128-131, 2017 Mar.
Article
en En
| MEDLINE
| ID: mdl-28510124
The hERG potassium channel is one of the most important anti-targets determining cardiotoxicity of potential drugs. Using fragmental descriptors and artificial neural networks, the predictive models of the relationship between the structure of organic compounds and their activity with respect to hERG were built, and the structural factors affecting it were analyzed. By their predictive ability and applicability domain, these models (N = 1000, Q 2 = 0.77, RMSE cv = 0.45 for affinity and N = 2886, Q 2 = 0.60, RMSE cv = 0.55 for channel inhibition) are superior to the previously published models and can be used to minimize the risk of cardiotoxicity during drug development.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Biología Computacional
/
Cardiotoxicidad
/
Canal de Potasio ERG1
Tipo de estudio:
Etiology_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Dokl Biochem Biophys
Asunto de la revista:
BIOFISICA
/
BIOQUIMICA
Año:
2017
Tipo del documento:
Article
País de afiliación:
Rusia
Pais de publicación:
Estados Unidos