Results 201 to 210 of about 401,256 (317)

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

open access: yesAdvanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen   +7 more
wiley   +1 more source

Transient Antiskyrmion‐Mediated Topological Transitions in Isotropic Magnets

open access: yesAdvanced Science, EarlyView.
A transient antiskyrmion‐mediated pathway that drives repeated stripe‐to‐skyrmion transitions is revealed, producing a net increase in topological charge in isotropic Dzyaloshinskii–Moriya interaction films. Experiments and simulations identify the antiskyrmion as a metastable excitation, enabling stochastic bitstream generation for probabilistic ...
Bingqian Dai   +18 more
wiley   +1 more source

Metabolic Reprogramming Driven by Trophoblasts and Decidual XCR1+PMN‐MDSC Crosstalk Controls Adverse Outcomes Associated With Advanced Maternal Age

open access: yesAdvanced Science, EarlyView.
The interaction between trophoblasts and decidual polymorphonuclear myeloid‐derived suppressor cells (dPMN‐MDSCs) via the XCL1–XCR1 axis is crucial for fetal development during the third trimester. Disruption of this axis impairs FOXO1 activity and causes metabolic imbalance in dPMN‐MDSCs, contributing to adverse outcomes associated with advanced ...
Meiqi Chen   +12 more
wiley   +1 more source

Entomopathogenic fungi disrupt the feeding behavior of Euschistus heros in soybean. [PDF]

open access: yesSci Rep
de Oliveira GP   +5 more
europepmc   +1 more source

An inverse-gamma source variance prior with factorized parameterization for audio source separation

open access: yesIEEE International Conference on Acoustics, Speech, and Signal Processing, 2016
Dionyssos Kounades-Bastian   +4 more
semanticscholar   +1 more source

A Machine Learning‐Driven Pore‐Scale Network Model Coupling Reaction Kinetics and Interparticle Transport for Catalytic Process Design

open access: yesAdvanced Science, EarlyView.
Designing catalytic processes in porous reactors requires resolving coupled multiscale reaction–transport phenomena. We develop a machine‐learning‐accelerated pore‐scale dual‐network model with kinetics (DNMK), which captures reaction kinetics, pore‐scale transport, and reactor‐level behavior.
Ming‐Liang Qu   +10 more
wiley   +1 more source

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