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

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...

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Bibliographic Details
Main Authors:	Md Ataul Islam, V. P. Subramanyam Rallabandi, Sameer Mohammed, Sridhar Srinivasan, Sathishkumar Natarajan, Dawood Babu Dudekula, Junhyung Park
Format:	Article
Language:	English
Published:	MDPI AG 2021-10-01
Series:	International Journal of Molecular Sciences
Subjects:	cardiovascular diseases β-adrenergic receptors virtual screening machine learning similarity search MD simulation
Online Access:	https://www.mdpi.com/1422-0067/22/20/11191

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