YIV-906 (formally PHY906, KD018) is a four-herb formulation that is currently being developed to improve the therapeutic index and ameliorate the side effects of many chemotherapeutic drugs including sorafenib, irinotecan, and capecitabine. However, as a promising anti-cancer adjuvant, the molecular mechanism of action of YIV-906 remains unrevealed due to its multi-component and multi-target features. Since YIV-906 has been shown to induce apoptosis and autophagy in cancer cells through modulating the negative regulators of ERK1/2, namely DUSPs, it is of great interest to elucidate the key components that cause the therapeutic effect of YIV-906. In this work, we investigated the mechanism of YIV-906 inhibiting DUSPs, using a broad spectrum of molecular modelling techniques, including molecular docking, molecular dynamics (MD) simulations, and binding free energy calculations. In total, MD simulations and binding free energy calculations were performed for 99 DUSP-ligand complexes. We found that some herbal components or their metabolites could inhibit DUSPs. Based on the docking scores and binding free energies, the sulfation and glucuronidation metabolites of the S ingredient in YIV-906 play a leading role in inhibiting DUSPs, although several original herbal chemicals with carboxyl groups from the P and Z ingredients also make contributions to this inhibitory effect. It is not a surprise that the electrostatic interaction plays the dominant role in the ligand binding process, given the fact that several charged residues reside in the binding pockets of DUSPs. Our MD simulation results demonstrate that the sulfate moieties and carboxyl moieties of the advantageous ligands from YIV-906 can occupy the enzymes' catalytic sites, mimicking the endogenous phosphate substrates of DUSPs. As such, the ligand binding can inhibit the association of DUSPs and ERK1/2, which in turn reduces the dephosphorylation of ERK1/2 and causes cell cycle arrest in the tumor. Our modelling study provides useful insights into the rational design of highly potent anti-cancer drugs targeting DUSPs. Finally, we have demonstrated that multi-scale molecular modelling techniques are able to elucidate molecular mechanisms involving complex molecular systems.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1039/c9cp03803e | DOI Listing |
Cell Death Dis
January 2025
Department of Pathology, Qilu Hospital and School of Basic Medical Sciences Shandong University, Jinan, Shandong, PR China.
Long noncoding RNAs (lncRNAs) are key regulators during gastric cancer (GC) development and may be viable treatment targets. In the present study, we showed that the expression of the long intergenic noncoding RNA 01016 (LINC01016) is significantly higher in GC tissues with lymph node metastasis (LNM) than those without LNM. LINC01016 overexpression predicts a poorer relapse-free survival (RFS) and overall survival (OS).
View Article and Find Full Text PDFAnal Chim Acta
March 2025
College of New Energy Materials and Chemistry, Leshan Normal University, Leshan, Sichuan, 614000, PR China; Sichuan Province Key Laboratory of Natural Products and Small Molecule Synthesis, Leshan, Sichuan, 614000, PR China. Electronic address:
Background: The threat of toxic malathion residues to human health has always been a serious food safety issue. The CRISPR/Cas system represents an innovative detection technology for pesticide residues, but its application to malathion detection has not been reported yet. In addition, the multiple-guide RNA (gRNA) powered-CRISPR/Cas biosensor has the advantages of being fast, sensitive and does not require pre-amplification.
View Article and Find Full Text PDFBiochem Biophys Res Commun
January 2025
College of Animal Science and Technology, Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, 530004, Guangxi, China. Electronic address:
Aptamers, a kind of short nucleotide sequences with high specificity and affinity with targets, have attracted extensive attention in recent years. Molecular docking method (MDM) is the most common method to explore the binding mode and recognition mechanism of aptamers and small molecules, which generally use the target to dock with the highest scoring tertiary structural model of the aptamer, and the highest scoring result is used as the predicted model. However, this prediction results may miss out the true interaction pattern due to the fact that aptamers are not completely rigid and the natural aptamers conformations are not in a single state.
View Article and Find Full Text PDFCommun Chem
January 2025
School of Chemistry, Trinity College Dublin, Dublin, Ireland.
The thiol-ene reaction between an alkene and a thiol can be exploited for selective labelling of cysteine residues in protein profiling applications. Here, we explore thiol-ene activation in systems from chemical models to complex cellular milieus, using UV, visible wavelength and redox initiators. Initial studies in chemical models required an oxygen-free environment for efficient coupling and showed very poor activation when using a redox initiator.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Biochemistry, Faculty of Pharmacy, University of Sadat City, El‑Sadat, Egypt.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!