Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Identification of Novel Ribonucleotide Reductase Inhibitors for Therapeutic Application in Bile Tract Cancer: An Advanced Pharmacoinformatics Study
por: Islam, Md Ataul, et al.
Publicado: (2022) -
Identification of Potential Cytochrome P450 3A5 Inhibitors: An Extensive Virtual Screening through Molecular Docking, Negative Image-Based Screening, Machine Learning and Molecular Dynamics Simulation Studies
por: Islam, Md Ataul, et al.
Publicado: (2022) -
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
por: Srikantamurthy, Mahati Munikoti, et al.
Publicado: (2023) -
Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach
por: Bhowmick, Shovonlal, et al.
Publicado: (2021) -
Pharmacoinformatics approach based identification of potential Nsp15 endoribonuclease modulators for SARS-CoV-2 inhibition
por: Savale, Rutuja Umesh, et al.
Publicado: (2021)