Results 31 to 40 of about 5,817 (176)
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Phylogenetic and biochemical analyses of the heme transporter CydDC reveal its functional conservation throughout bacterial evolution and demonstrate its unique asymmetric allosteric mechanism. Furthermore, impairment of CydDC function directly affects bacterial antibiotic resistance and likely compromises antibiotic efficacy through drug efflux.
Lili Yang +19 more
wiley +1 more source
A facile laser‐induced graphene–silver nanocomposite strategy enables ultrathin epidermal electrodes with low impedance, high conductivity, and excellent mechanical robustness. The porous LIG–Ag conductive network mechanically interlocked with SEBS provides stable, motion‐resistant biopotential monitoring, enabling high‐fidelity ECG, EMG, and EEG ...
Jiuqiang Li +6 more
wiley +1 more source
Periprosthetic joint infection establishes a sophisticated immunosuppressive network between CXCR4+ PMN‐MDSCs and Bregs, inducing profound CD8+ T cell paralysis. Alendronate effectively disrupts this CXCR4+ PMN‐MDSC–Breg axis by targeting STAT3, thereby restoring local immune surveillance.
Jintao Wu +9 more
wiley +1 more source
A design of double gradient effect is proposed to resolve the contradictory optimization on sensitivity and linearity of piezoresistive tactile sensors. The ultrawide linearity is realized by the sequential trigger of pressure‐induced gradient conductivity‐enabled linear current owing to the gradient microstructures.
Yao Fang +13 more
wiley +1 more source
An integrative single‐cell atlas across multiple metabolic diseases reveals coordinated metabolic modules and disease‐shared versus disease‐specific pathway activities. By systematically comparing scoring strategies, a robust RankAve framework is established. Coupled with network analysis and drug‐target prediction, this resource uncovers cross‐disease
Kuan Yang +10 more
wiley +1 more source
Large‐scale UK Biobank analyses identify clinical and proteomic signatures for early prediction of valvular heart disease and its subtypes. Proteins add predictive value for VHD, AVS, and MVR, with outcome‐specific compact panels showing translational potential. Multi‐layer evidence highlights matrix remodeling, protease regulation, immune inflammation,
Zhihao Jiang +10 more
wiley +1 more source
Keeping Pace or Falling Behind? The Depth of Latin American Trade Agreements
ABSTRACT This article examines whether Latin American countries are keeping pace with global trends in trade agreement depth or falling behind. Using 681 agreements (1970–2019), we develop the Depth Index of Trade Agreements (DITA) to weight provisions endogenously through factor analysis based on co‐occurrence patterns.
Raphael Gomes da Silva +2 more
wiley +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source

