Cargando…
Predicting the molecular mechanism-driven progression of breast cancer through comprehensive network pharmacology and molecular docking approach
Identification of key regulators is a critical step toward discovering biomarker that participate in BC. A gene expression dataset of breast cancer patients was used to construct a network identifying key regulators in breast cancer. Overexpressed genes were identified with BioXpress, and then curat...
Autores principales: | Vyas, Bharti, Kumar, Sunil, Bhowmik, Ratul, Akhter, Mymoona |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10444824/ https://www.ncbi.nlm.nih.gov/pubmed/37607964 http://dx.doi.org/10.1038/s41598-023-40684-7 |
Ejemplares similares
-
Identification, analysis of deleterious SNPs of the human GSR gene and their effects on the structure and functions of associated proteins and other diseases
por: Vyas, Bharti, et al.
Publicado: (2022) -
Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study
por: Bhowmik, Ratul, et al.
Publicado: (2023) -
Evaluation of flavonoids as 2019-nCoV cell entry inhibitor through molecular docking and pharmacological analysis
por: Bhowmik, Deep, et al.
Publicado: (2021) -
Exploring the mechanism of andrographolide in the treatment of gastric cancer through network pharmacology and molecular docking
por: Yadav, Ravi Prakash, et al.
Publicado: (2022) -
Network Pharmacology and Molecular Docking Combined to Analyze the Molecular and Pharmacological Mechanism of Pinellia ternata in the Treatment of Hypertension
por: Zhai, Zhaowei, et al.
Publicado: (2021)