Results 181 to 190 of about 8,119,426 (288)

Explainable drug repurposing via path based knowledge graph completion. [PDF]

Sci Rep
Jiménez A, Merino MJ, Parras J, Zazo S.
europepmc   +1 more source

Relations Prediction for Knowledge Graph Completion using Large Language Models [PDF]

Knowledge Graphs have been widely used to represent facts in a structured format. Due to their large scale applications, knowledge graphs suffer from being incomplete.
Alqaaidi, Sakher Khalil, Kochut, Krzysztof   +1 more
core  

Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction

Advanced Science, EarlyView.
Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen, Bapan Biswas, Apinya Ngoipala, Julia Wiktor, Ujjwal Pal, Shalini Singh   +5 more
wiley   +1 more source

Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation. [PDF]

JMIR Med Inform
Liu C, Li Z, Li J, Qu Y, Chang Y, Han Q, Cao L, Lin S.   +7 more
europepmc   +1 more source

The Natural Product Corramycin Acts as a DNA Gyrase Poison and Overcomes Fluoroquinolone Resistance in Mycobacterium tuberculosis

Advanced Science, EarlyView.
Corramycin, a myxobacterial natural product antibiotic, exhibits potent bactericidal activity against multidrug‐resistant Mycobacterium tuberculosis. The compound hijacks bacterial transporters such as BacA and OppABCD to enter the cell and inhibits DNA synthesis through a previously unrecognized mode of DNA gyrase poisoning, locking the enzyme in an ...
Franziska Fries, Jennifer Herrmann, Michael Dal Molin, Yaëlle Wormser, Timo Risch, Yunsheng Gao, Gareth Prosser, Francesca Gubellini, Ariel Mechaly, Joshua B. Wallach, Anthony Castro, Arka Banerjee, Sari Rasheed, Alexander Horn, Mathias Müsken, Michael Kurz, Lindsay Sonnenkalb, Viola Dreyer, Stefan Niemann, Sönke Andres, Dirk Schnappinger, Uli Kazmaier, Norbert Reiling, Rolf Müller, Jan Rybniker, Stéphanie Petrella   +25 more
wiley   +1 more source

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

Advanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang, Qiubo Chen, Shihai Lan, Liang Zhu, Shuaiyu Liu, Yan Xia, Yalu Zhang, Hanhui Yao, Yongman Liu, Shangquan Wu, Qingchuan Zhang   +10 more
wiley   +1 more source

KDGene: knowledge graph completion for disease gene prediction using interactional tensor decomposition. [PDF]

Brief Bioinform
Wang X, Yang K, Jia T, Gu F, Wang C, Xu K, Shu Z, Xia J, Zhu Q, Zhou X.   +9 more
europepmc   +1 more source

Toward Personalized Theranostics: A Modular PET Platform for Antibody‐Based Imaging and Therapy

Advanced Science, EarlyView.
This modular, site‐specific antibody platform enables customizable conjugates for PET imaging and therapy. Interchangeable payloads – including radiometals, cytotoxics, and fluorophores – support adaptable, multimodal applications with limited off‐target effects. In vivo, the DFO/DOTAGA bischelate immunoconjugate provided clear tumor delineation in PET/
Delphine Vivier, Megane Grah Kple, Julen Ariztia, Marion Leroux, Mathieu Moreau, Michael Claron, Maxime Cheveau, Adam Laouafa, Agnieszka Kownacka, Camille Petitot, John Simonet, Alexandre M. M. Dias, Sophie Poty, Charles Truillet, Bertrand Collin, Alexandra Oudot, Franck Denat   +16 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

Advanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi, Ahmadreza Argha, Nona Farbehi, Ivan Bakhshayeshi, Thantrira Porntaveetus, Youqiong Ye, Nigel H. Lovell, Hamid Alinejad‐Rokny   +7 more
wiley   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source