Results 191 to 200 of about 7,645,086 (295)

Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer

Advanced Science, EarlyView.
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu, Xia Ling, Xianhe Zhang, Chuanjiang Jian, Leilei Shi, Wentao Song, Xiaonan Wang, Bin Liu   +7 more
wiley   +1 more source

KG-DFI: A Prediction of Drug-Food Interactions Based on Knowledge Graph Embedding. [PDF]

Comput Struct Biotechnol J
Kang M, Lee MJ, Yoo S.
europepmc   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction. [PDF]

Bioinformatics
Brière G, Stosskopf T, Loire B, Baudot A.   +3 more
europepmc   +1 more source

Functional Suppression of SCAP Triggers Endoplasmic Reticulum Stress‐Dependent Ferroptosis by Impairing Cholesterol Metabolism in Gastric Cancer

Advanced Science, EarlyView.
This study reveals a novel GC therapy targeting cholesterol homeostasis. Inhibiting the SCAP sterol‐sensing domain causes lethal ER stress via cholesterol accumulation, paradoxically forcing continuous synthesis that triggers ferroptosis. The findings link sterol sensing, metabolic dysregulation, and ferroptosis, establishing an anti‐cancer paradigm ...
Qianqian Xu, Guangzhao Pan, Lele Zhang, Xiangliu Chen, Kui Zhang, Yang Lu, Zibo Duan, Aiping Chen, Hailong Shen, Yuxi Zhang, Xiaowu Dong, Jinzhou Huang, Xing Huang, Kai Miao, Qian Hua, Fangfang Tao, Weidong Zhang, Jiang‐Jiang Qin   +17 more
wiley   +1 more source

CME-KGDTI: integrating clustered mutations into knowledge graph embedding for drug-target interaction prediction. [PDF]

BioData Min
Jin J, Zhao X, Liu J, Gong C, Zheng W, Jiang G, Li C, Guo L, Liang T, Li X.   +9 more
europepmc   +1 more source

Deep Learning Network‐Tailored Microenvironment Matching of 4D Bioprinting Bioactive Scaffolds for Bone Regeneration

Advanced Science, EarlyView.
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang, Yuechi Zhang, Weifeng Hu, Shiyan Lv, Fan Jia, Yan Zhang, Feng Wu, Changjiang Yang, Guanqi Zhen, Jinglong Yan, Xu Cui, Wei Zhao, Guanghua Chen   +12 more
wiley   +1 more source

Knowledge graph embedding and alignment of incomplete electronic health records for critical care applications. [PDF]

J Biomed Semantics
Mehryar S, Dumontier M.
europepmc   +1 more source

PDGFRα+/Integrin α2+ Fibroblasts Orchestrate Tumor Budding in Oral Squamous Cell Carcinoma via Mechano‐Metabolic Symbiosis: E‐Cadherin/Integrin α2β1 Adhesion and Mitochondrial Transfer

Advanced Science, EarlyView.
PDGFA/PDGFRα signaling recruits CAFs to OSCC nests, and CAF‐OSCC contact drives tumor budding invasion. Mechanistically, heterotypic adhesion via E‐cadherin/integrin α2β1 activates YAP signaling in OSCC cells, inducing EMT. Concurrently, CAFs transfer mitochondria through TNTs, supplying ATP to fuel invasion.
Yufang Liu, Jiao Li, Juan Liu, Qi Dong, Haoyang Zhang, Yanjin Wang, Huibing Li, Ye Guan, Lei Cao, Manqing Zhang, Fangning Guo, Xue Liu, Zhen Yang, Mengmeng Lu, Hui Liu, Laiping Zhong, Tong Ji, Tingjiao Liu   +17 more
wiley   +1 more source

Benchmarking knowledge graph embedding models for the prediction of oligogenic combinations. [PDF]

Brief Bioinform
Bosch I, Gravel B, Renaux A, Nowé A, Laan M, Lenaerts T.   +5 more
europepmc   +1 more source