Results 51 to 60 of about 610 (218)
This work presents a computational–experimental strategy to engineer material‐binding peptides toward polymer specificity. Molecular dynamics simulations identified residues driving polystyrene binding, enabling targeted substitutions that greatly reduced polystyrene affinity while preserving PET binding.
Julian Luka +3 more
wiley +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source
A root‐inspired microneedle array patch uses lattice‐based mechanical interlocking to unite rigid microneedles with a flexible substrate. The interlocked rigid–soft architecture improves interfacial bonding, supports stable adhesion on curved and wet tissues under dynamic motion, and provides a versatile platform for robust biointerfacing and future ...
Jongchan Lee +9 more
wiley +1 more source
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo +6 more
wiley +1 more source
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang +9 more
wiley +1 more source
Micro laser powder bed fusion enables architected nickel shellular lattice gas diffusion layers for anion exchange membrane water electrolysis. Among regular open cell geometries, the Gyroid lattice promotes bubble release, convective reactant replenishment and continuous electron transport, delivering low overpotentials, enhanced charge transfer and ...
Tianxiao Niu +7 more
wiley +1 more source
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu +7 more
wiley +1 more source
Repurposing FDA‐Approved Drugs to Inhibit Fungal PPTases for Broad‐Spectrum Synergy
Fungal secondary metabolites serve as crucial virulence effectors; however, the potential of their biosynthetic pathways as antifungal targets remains inadequately comprehended. Repurposed FDA‐approved drugs inhibit fungal PPTase (essential for secondary metabolism) in vivo.
Zili Song +7 more
wiley +1 more source
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English +9 more
wiley +1 more source
Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko +8 more
wiley +1 more source

