Browse Articles

Pre-N and C-terminal extension regions of Arabidopsis HSP90.7 regulate the chaperone activity and ER stress response

Efficient removal of 2,4-D using NaOH-activated date seed Biochar with adsorption behavior, kinetic and isotherm modeling, and process optimization

Sirtuin 6 is a histone delactylase

Synthetic deformylated α-helical PSMα3 as a selective inhibitor of human amyloid aggregation

Decoding ultrasensitive self-assembly of the calcium-regulated Tetrahymena cytoskeletal protein Tcb2 using optical actuation

18-yr cumulative incidence of respiratory outcomes is related to employment sectors in a general population sample

Self‐Assembly, Rearrangement, and Disassembly of {Cr ₆ } Horseshoe Oligomers

Abstract Molecular assemblies are commonly found in biological systems, and designing synthetic mimics of these is a challenge for modern chemistry. Here, we apply ion mobility mass spectrometry (IM‐MS), density functional theory (DFT), and mass‐selective electrospray ion beam deposition followed by low‐temperature scanning tunneling microscopy (STM) to decipher the self‐assembly, rearrangement, and disassembly processes of {Cr 6 } n horseshoe oligomers ( n  = 1–5). Activated tandem IM‐MS reveals the oligomer disassembly in detail, highlighting the stability of the dimer unit. When n  = 2 and n = 3 oligomers are deposited on surfaces, we observe the rearrangement of dimers and trimers to dimers of dimers, and at higher coverages, the formation of an unexpected hexagonal‐like network. In its entirety, the experimental and computational data provide a convincing framework for the analysis of supramolecular assembly processes in noncrystalline phases that could be used in future design strategies.

A S180F substitution in D-alanine aminotransferase confers resistance to β-chloro-D-alanine in Staphylococcus aureus

Co-occurrence of mcr-1 and mcr-3 mobilized colistin resistance genes among carbapenem-resistant Pseudomonas aeruginosa in Iran

Dihydroxyacetone decreases the dATP pool, inducing replication stress and genomic instability in BEAS-2B cells

Bayesian estimation of the inverse Exponential Power distribution for COVID-19 case fatality analysis under SDG 3

Abstract In this study, the maximum likelihood estimators (MLEs) and Bayes estimators for the shape and scale parameters of Inverse Exponential Power (IEP) distribution are derived. As closed-form solutions for the Bayes estimators are not available, approximate estimators are obtained through Lindley’s and Tierney–Kadane’s approximation methods, along with the Markov Chain Monte Carlo (MCMC) method, under the squared-error loss (SEL) function. Also, the approximate Bayes estimates are evaluated against the maximum likelihood estimates based on mean square error (MSE) and bias values using Monte Carlo simulation. In addition, the coverage probabilities of the parametric bootstrap estimates are computed. Finally, real data sets belonging to the COVID-19 Pandemic Case Fatality Rate across World Health Organization (WHO) and Organization fo Economic Co-Operation and Development (OECD) regions data is investigated as an important indicator to achieve United Nations’ Sustainable Development Goal 3 (SDG 3) are employed to display the emprical results associated with both non-bayesian and bayesian estimations of the IEP distribution presented. By offering improved estimation techniques for flexible health indicator distributions, the results contribute to the broader effort of enhancing statistical tools used in global health analytics—particularly in areas such as survival modeling, biomedical reliability, and chronic disease monitoring aligned with SDG 3.

Discovery of Antivirulence ClpP Inhibitors by Self‐Resistance Gene‐Guided Mining Coupled with Dual Functional Screening

Abstract The global threat of MRSA demands innovative anti‐virulence strategies. Caseinolytic peptidase P (ClpP), a central virulence regulator in MRSA, represents an attractive yet underexploited target. Here, we developed a discovery platform integrating self‐resistance gene‐guided genome mining with dual functional screening, combining fluorometric‐based assay and counter‐screening against ADEP‐induced ClpP activation. This led to the discovery of streptoclipamides A–G, novel hybrid polyketide‐nonribosomal peptide ClpP inhibitors from str BGC, validated via heterologous expression and gene knockout. Structure–activity relationship studies enabled by engineered analogues identified key pharmacophores. Streptoclipamide A potently inhibits ClpP (IC 50  = 480 nM) by engaging Thr72 via its C‐21 hydroxyl group, confirmed by biophysics and self‐resistance‐conferring T72P mutation. Streptoclipamide A suppressed MRSA virulence in vitro by reducing critical toxin production, including α‐hemolysin, and demonstrated protection in Galleria mellonella and murine pneumonia models. This work expands chemical diversity of ClpP‐targeting agents, and establishes a genome mining‐driven platform for discovering new therapeutics against antibiotic‐resistant pathogens.

Nitric oxide attenuates PI4P accumulation at the ER membrane to inhibit encephalomyocarditis virus replication selectively in β-cells

Integrated laboratory workflow for proton exchange membrane fuel cell fabrication and testing

Abstract This paper is a laboratory experiment aimed at fabricating the different layers that make up the Proton Exchange Membrane Fuel Cell (PEMFC), assembling it, constructing the cell, and then testing it under different operating conditions of temperature, relative humidity, type of reactant gases (air vs. oxygen), and flow rate of reactant gases into the cell. At the fabrication phase, the materials used, their quantities, as well as the detailed steps required to fabricate each layer are clarified in detail. In the testing and evaluation phase, the fabricated cell is connected to a test station, and all operating conditions are controlled; then voltage, current, and output power are measured. Through this experiment, it can be concluded that the best performance of PEMFC can be obtained when reaching the required loading of the coating materials on the different layers, as well as when distributed regularly on the substrate. As for the operating conditions, there is an improvement in the cell performance when raising temperatures and when it is operated at values of relative humidity between 80% and 100% and when oxygen flows instead of air as an oxidant in the reaction which occurs inside the cell.

Outside Front Cover: Adaptive Rhodium Catalysis with a Lewis‑Acidic Secondary Sphere for Divergent Hydrogenation of Propargylic Alcohols (Angew. Chem. Int. Ed. 49/2025)

The scaffold protein IQGAP1 regulates the epithelial Na+ channel

Prediction of groundwater quality assessment by integrating boosted learning with DE optimizer

Structural and molecular dynamics insights into the competitive inhibition of the platelet-activating factor receptor by acyl-PAF

Comparative study of motivational drivers behind players’ selection of Palworld

Light‐Induced Chemiluminescence Microscopy for Imaging Heterogeneous Photo‐Fenton‐Type Activity on Individual Hematite Photocatalysts

Abstract While chemiluminescence (CL) offers a promising method for assessing catalytic activity in chemical catalysis, a well‐controlled assessment of the inherent heterogeneity of catalyst particles at a single‐particle level remains challenging. Here, we report light‐induced CL microscopy for imaging heterogeneous photocatalytic activity on individual photocatalysts in a spatiotemporally controlled manner. The CL microscopy approach is based on light‐addressable catalysis to reveal the heterogeneous activity of photocatalysts at the single catalyst level with high controllability for CL emission. We also report, for the first time, the spatial heterogeneity of photo‐Fenton‐type activity of dendritic hematite within a single hematite photocatalyst, along with the unique activity distribution of the individual photocatalysts across a population of dendritic hematite structures of varying shapes and sizes.