Exploring the Antidiabetic Potential of Salvia officinalis Using Network Pharmacology, Molecular Docking and ADME/Drug-Likeness Predictions DOI Creative Commons
Chimaobi James Ononamadu, Véronique Seidel

Plants, Journal Year: 2024, Volume and Issue: 13(20), P. 2892 - 2892

Published: Oct. 16, 2024

A combination of network pharmacology, molecular docking and ADME/drug-likeness predictions was employed to explore the potential

Language: Английский

Molecular mechanisms of radiation resistance in colorectal cancer: in silico identification of AURKA, BIRC5 and PLK1 proteins as potential biomarkers DOI
M A Rodríguez-García, Antonio Manuel Burgos-Molina, Alejandro González-Vidal

et al.

International Journal of Radiation Biology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: April 28, 2025

The development of radiation resistance by tumor cells severely affects the survival colorectal cancer patients. aim this work is to study molecular mechanisms involved in radiotherapy treatment and identification key genes as possible biomarkers. Data mining was performed PubMed with keywords 'colorectal neoplasms', 'radiotherapy', 'resistance', generating a total 242 articles which series inclusion exclusion criteria were applied select interest. Then, an in-silico analysis selected bioinformatic tools: GeneCodis, Metascape, KEGG, REACTOME, STRING, STITCH, CHEA3, DGIdb, CTD, GEPIA. Different described. These are related evasion apoptosis, cell cycle dysregulation, epithelial-mesenchymal transition, repair DNA breaks, last one being most relevant influential. In-silico carried out 21 showed implication FoxO signaling EGFR tyrosine kinase inhibitor enriched pathways. In addition, identified proteins AURKA, BIRC5, PLK1, showing multiple interacting chemicals drugs; such tamoxifen, omacetaxine mepesuccinate, hydroxyzine pamoate, among others. transcription factors that regulate expression these well validation patient samples where higher observed patients, conserved across stages I-IV, suggests their potential

Language: Английский

Citations

0

Exploring the Antidiabetic Potential of Salvia officinalis Using Network Pharmacology, Molecular Docking and ADME/Drug-Likeness Predictions DOI Creative Commons
Chimaobi James Ononamadu, Véronique Seidel

Plants, Journal Year: 2024, Volume and Issue: 13(20), P. 2892 - 2892

Published: Oct. 16, 2024

A combination of network pharmacology, molecular docking and ADME/drug-likeness predictions was employed to explore the potential

Language: Английский

Citations

2