Results 141 to 150 of about 8,049,750 (250)

Symbiont‐Induced HSP83 Establishes Two‐Tiered Control of Antifungal Immunity in an Invasive Beetle–Fungus Complex

Advanced Science, EarlyView.
In an invasive beetle–fungus complex, the mutualist Leptographium procerum induces host HSP83 and modulates Toll‐dependent antifungal immunity. HSP83 mediates two‐tiered control by associating with selected fungal recognition receptors and restraining Dorsal‐driven antimicrobial peptide transcription.
Qingtai Yang, Zhudong Liu, Yuqiao Yin, Jing Su, Dunyang Yu, Longsheng Xing, Zhen Zou, Le Kang, Jianghua Sun   +8 more
wiley   +1 more source

Enhancing drug-drug interaction prediction by three-way decision and knowledge graph embedding. [PDF]

Granul Comput, 2023
Hao X, Chen Q, Pan H, Qiu J, Zhang Y, Yu Q, Han Z, Du X.   +7 more
europepmc   +1 more source

14‐3‐3γ Protects Against Postoperative Cognitive Dysfunction by Regulating Tau Thr205 Phosphorylation and Synaptic Integrity

Advanced Science, EarlyView.
Integrative multi‐cohort analyses identify 14‐3‐3γ as a biomarker and regulator of cognitive vulnerability. Experimental studies show that 14‐3‐3γ loss is associated with Tau Thr205 phosphorylation, synaptic dysfunction, and cognitive impairment, while genetic overexpression or pharmacological stabilization of 14‐3‐3γ confers protective effects in ...
Shouqiang Zhu, Xue Han, Heng Zhang, Chang Ye, Tianjiao Xia, Xiaoping Gu   +5 more
wiley   +1 more source

Prediction of Drug-Target Interaction Using Dual-Network Integrated Logistic Matrix Factorization and Knowledge Graph Embedding. [PDF]

Molecules, 2022
Li J, Yang X, Guan Y, Pan Z.
europepmc   +1 more source

Improving Graph Embeddings in Machine Learning Using Knowledge Completion with Validation in a Case Study on COVID-19 Spread

The rise of graph-structured data has driven major advances in Graph Machine Learning (GML), where graph embeddings (GEs) map features from Knowledge Graphs (KGs) into vector spaces, enabling tasks like node classification and link prediction.
Napoli, Rosario, Villari, Massimo, Morabito, Gabriele, Fazio, Maria, Celesti, Antonio   +4 more
core   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Hashing-based semantic relevance attributed knowledge graph embedding enhancement for deep probabilistic recommendation. [PDF]

Appl Intell (Dordr), 2023
Khan N, Ma Z, Yan L, Ullah A.
europepmc   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

Prediction of adverse drug reactions based on knowledge graph embedding. [PDF]

BMC Med Inform Decis Mak, 2021
Zhang F, Sun B, Diao X, Zhao W, Shu T.
europepmc   +1 more source

MXene‐Based Room‐Temperature NO2 Gas Sensors: A Meta‐Analysis

Advanced Science, EarlyView.
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, Jerome Geyer‐Klingeberg, Andreas Rathgeber, Suelen Barg   +3 more
wiley   +1 more source