Activity-Based Ubiquitin Probes Capture the Sulfenylated State of Deubiquitinases.

Activity-based ubiquitin probes (Ub-ABPs) are powerful tools for studying the functional landscape of deubiquitinases (DUBs). While most existing Ub probes have focused on examining the native state of DUBs, oxidative stress, especially in cancer and inflammatory contexts, can oxidize the catalytic cysteine of DUBs, significantly altering their activity. Here, we developed three novel ubiquitin-based activity probes (Ub-ABPs) to selectively trap the sulfenylated form of deubiquitinases (DUB-SOH).

Quantum-Embedded Graph Neural Network Architecture for Molecular Property Prediction.

Accurate prediction of molecular properties is crucial for accelerating the development of new drugs, and quantum machine learning (QML) holds great promise in this domain. A typical QML pipeline comprises two core stages: encoding classical data into quantum representations followed by training and prediction using quantum computing-based machine learning (ML) models. In this article, we focus on the initial encoding stage and propose an effective quantum feature extraction approach for molecular graph data, introducing quantum node embedding and quantum edge embedding methods.

Enhanced Intracellular Delivery by Twisted CC-Loop Conformation in Cyclic Cell-Penetrating Peptides.

Biological drugs hold great promise for treating various diseases, but their efficacy is often limited by poor cellular uptake. Herein, we introduce cyclic cell-penetrating peptides (CPPs) to enhance the delivery efficiency. Three cyclic peptides with varying ring sizes were designed from a classic amphiphilic CPP disulfide bond formation.

Atomic Insights Into Self-Assembly of Zingibroside R1 and its Therapeutic Action Against Fungal Diseases.

Natural products are a crucial resource for drug discovery, but poor understanding of the molecular-scale mechanisms of their self-assembly into soluble, bioavailable hydrogels limits their applications and therapeutic potential. It is demonstrated that Zingibroside R1 (ZR1), derived from Panax notoginseng, undergoes spontaneous self-assemble into a hydrogel comprising helical nanofibrils with potent antifungal activity lacking in its monomeric state. Cryogenic electron microscopy (cryo-EM) revealed an intricate hydrogen-bonding network that facilitates ZR1 nanofibril formation, characterized by a hydrophobic core and hydrophilic exterior architecture, which underpin its binding activity with cell wall in the vulvovaginal candidiasis (VVC) pathogen, C.

Structural basis for allosteric agonism of human α7 nicotinic acetylcholine receptors.

The α7 nicotinic acetylcholine receptor (nAChR), a pentameric ligand-gated ion channel, plays important roles in cognition, neuroprotection, and anti-inflammation. As a potential drug target, α7 nAChR has different binding sites for different ligands, particularly agonists and positive allosteric modulators (PAMs). Ago-PAMs can both directly activate and allosterically modulate α7 nAChR.

N-glycosylation-modifications-driven conformational dynamics attenuate substrate inhibition of d-lactonohydrolase.

Achieving enzyme catalysis at high substrate concentrations is a substantial challenge in industrial biocatalysis, and the role of glycosylation in post-translational modifications that modulate enzyme substrate inhibition remains poorly understood. This study provides insights into the role of N-glycosylation in substrate inhibition by comparing the catalytic properties of d-lactonohydrolase (d-Lac) derived from Fusarium moniliforme expressed in prokaryotic and eukaryotic hosts. Experimental evidence indicates that recombinant d-Lac expressed in Pichia pastoris (PpLac-WT) exhibits higher hydrolysis rates at a substrate concentration of 400 g/L, with reduced substrate inhibition and enhanced stability compared to the recombinant d-Lac expressed in Escherichia coli (EcLac-WT).