All Studies

Integrating Computational Methods in Network Pharmacology and In Silico Screening to Uncover Multi-targeting Phytochemicals against Aberrant Protein Glycosylation in Lung Cancer.

This work explores the potential of certain plant compounds to interact with cancer-associated glycoproteins. The researchers used computational methods and docking approaches to identify phytochemicals from selected plants with drug-like properties. They created a network to analyze the interactions between the compounds and glycoproteins. Several compounds, including α-pinene, cyanomaclurin, genistein, and quercetin, showed potential in binding to known cancer biomarkers. The researchers also performed cytotoxicity assays on plant extracts, finding that certain extracts had growth inhibitory activity against lung cancer cells. This research could help further understand the cytotoxic activities of these plant compounds.

Grijaldo SJB et al (2023).
ACS Omega.
PubMed:
37332828

Enzymatic degradation of azo dyes methylene blue and congo red with peroxidase purified from cauliflower using affinity chromatography technique: Kinetic study, optimization and metal binding activity.

Almaz Z and Agircelik FN (2023).
J Biosci Bioeng.
PubMed:
37331844

Molecular characterization and functional analysis of glutathione S-transferase genes of pine wood nematode (Bursaphelenchus xylophilus) for avermectin.

Hao X et al (2023).
Comp Biochem Physiol C Toxicol Pharmacol.
PubMed:
37331545