Results 251 to 260 of about 1,537,229 (332)
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
SMAD4 is identified as a guardian of 3D genome architecture in lung squamous cell carcinoma. Loss of SMAD4 unleashes EP300 at chromatin loop anchors, strengthening enhancer–promoter looping and H3K27ac at the SOX2 locus to drive aberrant SOX2 activation and tumor cell proliferation.
Qian Tang +33 more
wiley +1 more source
The study proposes a fitting curve as a reference to quantify the optimal K+ ratio in K+/Zn2+ mixed electrolyte, thus achieving stable and high‐capacity aqueous zinc ion batteries at each current density. ABSTRACT Incorporating K+ into Zn‐based electrolytes can enhance the performance of aqueous zinc ion batteries, while the lack of a clear rule for ...
Yewei Li +7 more
wiley +1 more source
Rare‐earth catalysts regulate lithium–sulfur battery chemistry through f‐orbital–mediated interactions, enabling simultaneous polysulfide adsorption and catalytic conversion on conductive carbon hosts. This synergistic control suppresses the shuttle effect, accelerates redox kinetics, and guides stable Li2S nucleation, providing a mechanistic framework
Fan Wang +5 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression
Protein disulfide isomerase A6 (PDIA6) is identified as an oncogenic driver in gastric cancer. PDIA6 directly binds and stabilizes SCD1 by limiting its ubiquitin–proteasome‐mediated degradation, thereby sustaining monounsaturated fatty acid (MUFA)‐enriched lipid homeostasis and lipid metabolic reprogramming.
Zhen Tian +13 more
wiley +1 more source
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu +5 more
wiley +1 more source
Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok +4 more
wiley +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Child: Care, Health and Development, 2023
BACKGROUND Loneliness and depression are common emotional problems among left-behind children, and these emotional problems may have a high correlation with attachment relationships.
Deqin Tan +5 more
semanticscholar +1 more source
BACKGROUND Loneliness and depression are common emotional problems among left-behind children, and these emotional problems may have a high correlation with attachment relationships.
Deqin Tan +5 more
semanticscholar +1 more source
Interactive Learning Environments, 2023
Previous studies have verified that teacher-student relationship quality has a positive effect on students’ academic engagement. Few studies, however, have examined whether school psychological capital mediates the linkage between teacher-student ...
Yajun Wu, Xia Kang, Lisheng Li
semanticscholar +1 more source
Previous studies have verified that teacher-student relationship quality has a positive effect on students’ academic engagement. Few studies, however, have examined whether school psychological capital mediates the linkage between teacher-student ...
Yajun Wu, Xia Kang, Lisheng Li
semanticscholar +1 more source

