Screening of β1- and β2-Adrenergic Receptor Modulators through Advanced Pharmacoinformatics and Machine Learning Approaches

Cardiovascular diseases (CDs) are a major concern in the human race and one of the leading causes of death worldwide. β-Adrenergic receptors (β1-AR and β2-AR) play a crucial role in the overall regulation of cardiac function. In the present study, structure-based virtual screening, machine learning...

Descripción completa

Detalles Bibliográficos
Autores principales: Islam, Md Ataul, Rallabandi, V. P. Subramanyam, Mohammed, Sameer, Srinivasan, Sridhar, Natarajan, Sathishkumar, Dudekula, Dawood Babu, Park, Junhyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538848/
https://www.ncbi.nlm.nih.gov/pubmed/34681845
http://dx.doi.org/10.3390/ijms222011191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538848/
https://www.ncbi.nlm.nih.gov/pubmed/34681845
http://dx.doi.org/10.3390/ijms222011191

Ejemplares similares