DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
Proton-driven many-body interactions and structural organization in He <sub><i>n</i></sub> H<sup>+</sup> clusters. [PDF]
Montes de Oca-Estévez MJ +2 more
europepmc +1 more source
MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis
This study presents the first comprehensive meta‐analysis of MXene‐based NO2 sensors, decoding 32 study characteristics across 61 peer‐reviewed studies. By isolating materials chemistry as the primary performance driver over device‐level parameters, the authors establish a methodological blueprint and a predictive structure–function map to accelerate ...
Alexander Khort +3 more
wiley +1 more source
Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel. [PDF]
Zhao W, Sutherland DJ, Dao Duc K.
europepmc +1 more source
Longitudinal multifrequency magnetic resonance elastography (mMRE) performed on a clinical 3 Tesla magnetic resonance imaging system reveals early biomechanical alterations during liver tumor progression in a translational VX2 model. Changes in tumor stiffness and viscosity precede diffusion‐related alterations and are associated with extracellular ...
Justus Ramtke +20 more
wiley +1 more source
Kernel dynamic orthonormal subspace analysis for monitoring hybrid electric vehicle powertrain faults. [PDF]
Wang Y +4 more
europepmc +1 more source
Ab Initio Thermoelectric Transport Calculations of Alloyed Half‐Heuslers
The effect of alloying on the electronic transport of half‐Heusler thermoelectric materials is explored using a fully ab initio approach. A novel method is developed that combines calculations of alloyed supercells with Boltzmann transport, considering the full energy and momentum dependent scattering processes from first principles extracted ...
Ankit Kumar +2 more
wiley +1 more source
Explicit electrothermal LLP VO<sub>2</sub> model reproducing Preisach like hysteresis for memristive and neuromorphic devices. [PDF]
Sena BASF, de Almeida LAL.
europepmc +1 more source
Organic electrochemical transistors bridge biological ionic signaling and neuromorphic computation through volumetric electrochemical gating. This review connects Organic mixed ionic–electronic conductor materials, device architectures, and manufacturing technologies to show how geometry, ion transport, and fabrication strategies program plasticity ...
Hyunjin Lee +5 more
wiley +1 more source
Identifying stochastic dynamics from non-sequential data (DyNoSeD). [PDF]
Lu Z, Kuśmierz Ł, Mihalas S.
europepmc +1 more source

