Neuid: A Novel Neuron‐Enriched LncRNA that Connects Epigenetic Gene Silencing to Alzheimer's Disease
ABSTRACT The increasing evidence that non‐coding RNAs can become deregulated during pathogenesis is dramatically expanding the space for drug discovery beyond the protein‐coding genome. Long noncoding RNAs (lncRNAs) are emerging as key regulators of cellular function, yet most remain uncharacterized.
Ranjit Pradhan +17 more
wiley +1 more source
Single-step retrosynthesis prediction via multitask graph representation learning. [PDF]
Zhao PC +7 more
europepmc +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
TP-RotatE: A knowledge graph representation learning method combining path information and rules to capture complex relational patterns. [PDF]
Liu X, Shi Y, Xu Y, Ren Y.
europepmc +1 more source
This work introduces an open‐source all‐optical platform for functional phenotyping of human stem cell‐derived neurons. The system integrates optogenetics, calcium imaging, automated acquisition, and analysis to resolve single‐cell and network activity, enabling longitudinal measurements, disease modeling, and pharmacological screening in preclinical ...
Wardiya Afshar‐Saber +12 more
wiley +1 more source
Multi-Label Feature Selection with Feature-Label Subgraph Association and Graph Representation Learning. [PDF]
Ruan J, Wang M, Liu D, Chen M, Gao X.
europepmc +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
An experimental analysis of graph representation learning for Gene Ontology based protein function prediction. [PDF]
Vu TTD, Kim J, Jung J.
europepmc +1 more source
Unveil Fundamental Graph Properties for Neural Architecture Search
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang +4 more
wiley +1 more source
stHGC: a self-supervised graph representation learning for spatial domain recognition with hybrid graph and spatial regularization. [PDF]
Wang R, Dai Q, Duan X, Zou Q.
europepmc +1 more source

