Results 121 to 130 of about 2,169 (207)

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
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, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Learning to Read in a Second Language

Reading in a Foreign Language, 1989
openaire   +1 more source

PDIA6–SCD1 Axis Rewires Lipid Metabolism to Drive Gastric Cancer Progression

Advanced Science, EarlyView.
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, Yifan Cheng, Jiajie Zhou, Ruiqi Li, Shuai Zhao, Ben Li, Zijie Xu, Mengli Zi, Yayan Fu, Chenkai Zhang, Qiannan Sun, Shantanu Baral, Sen Wang, Daorong Wang   +13 more
wiley   +1 more source

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
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, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Zhou, Xiaogen Zhou, Guijun Zhang   +8 more
wiley   +1 more source

Surfaceome Reprogramming of Stemsomes Promotes Lung Cancer Targeting via Potentiated Receptor–Ligand Interactions

Advanced Science, EarlyView.
This study presents a surfaceome‐reprogramming strategy for mutation‐independent lung cancer therapy by repurposing dexamethasone to prime mesenchymal stem cell‐derived nanovesicles. The engineered vesicles leverage multi‐valent interactions mediated by upregulated adhesion proteins, EPHA2, and NOTCH3.
Geunhye Kim, In Ah Kwon, Bo Seop Jeong, Hyo Seon Kim, Joo‐Hwan Park, Sung Jean Park, Sang‐Rae Lee, Youngki Lee, Dongwoo Khang   +8 more
wiley   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Photothermal Amplification via Nanorobotic Swarming Dynamics

Advanced Science, EarlyView.
This study explores a novel approach to enhance photothermal therapy using magnetically regulated microswarms. It details the development of magnetic nanoparticles organized into dynamic structures that improve heat retention and conversion efficiency.
Qinglong Wang, Lin Su, Zhengxin Yang, Yihang Jiang, Haojin Yang, Qianqian Wang, Li Zhang, Ben Wang, Jiajia Wang   +8 more
wiley   +1 more source

Versatile Detection of Cellular Protein via Fluorescence Anisotropy

Advanced Science, EarlyView.
Cell Lysate Fluorescence Anisotropy (CFAST) utilizes long lifetime dye‐labeled nanobodies for rapid protein quantification in minimally purified, complex cell lysate. When coupled with cellular thermal shift, CFAST allows high‐throughput detection of endogenous protein‐small molecule engagement, facilitating the discovery of novel binders for ...
Qing Tang, Yuan‐Ping Wei, Ricky Ruiqi Ma, Na Wei, Tammy Zihan Zhou, Hilary Kung‐Yu Ho, Zafar Iqbal Bhat, Iqra Ishrat, Xiaoyu Li, Judy Wai Ping Yam, Yung Hou Wong, Qiankun Wang, Justin L. Tan   +12 more
wiley   +1 more source

Reading in a Second Language: Moving from Theory to Practice (Second Edition)

Japanese Language and Literature
Sachiko Matsunaga
doaj   +1 more source