Results 161 to 170 of about 14,235 (282)

CCT2 Promotes Prostate Cancer Progression Through EIF3F‐Dependent Stabilization of FASN

Advanced Science, EarlyView.
ABSTRACT Prostate cancer (PCa) is increasingly recognized to be driven by dysregulated lipid metabolism. Although fatty acid synthase (FASN) is highly expressed in PCa, the mechanisms governing FASN protein stability and its functional integration into oncogenic lipid metabolism remain poorly defined.
Shun Xu, Yifan Zhang, Haolin Li, Shengyu Zhao, Xiaoran Dai, Qili Xu, Mintian Fei, Chun Li, Zhihui Zou, Baojun Wang, Li Zhang, Hui Wang, Ligang Zhang, Chaozhao Liang   +13 more
wiley   +1 more source

Virtual Network Embedding Algorithms for Integrated Space-Terrestrial Network

天地一体化信息网络
Within the intricate environment of integrated space-terrestrial network, VNE algorithms face novel challenges due to the high variability in user demands, stringent limitations of heterogeneous resources, expansive spatiotemporal scales, and the dynamic
Jiarui FANG, Tingting ZHANG, Yubo ZHAO, Nan WU, Bei LIANG   +4 more
doaj   +2 more sources

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

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

A Multi-Step Computational Workflow for Screening and Prioritizing SHP2-Binding Molecules. [PDF]

Pharmaceuticals (Basel)
Bilotta M, Rocca R, Alcaro S.
europepmc   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

PRDM1 Is Associated with Chemoradiotherapy-Associated Enrichment of Adaptive NK Cells in Cervical Cancer. [PDF]

Comput Struct Biotechnol J
Wan M, Zhong T, Shi W, Shen J, Zhang W, Sun Y.   +5 more
europepmc   +1 more source

Synergistic Integration of Artificial Merkel Disc and Meissner Corpuscle via Dermal Papillary Structures for Mechanically Filtered Multimodal Tactile Sensing

Advanced Science, EarlyView.
A multimodal tactile sensor module that mimics the spatial arrangement and function of Merkel discs and Meissner corpuscles within the human papillary structure operates in a self‐powered manner, responding to both dynamic and static stimuli, achieving tactile perception more similar to human skin.
Jaehyeong Kim, Bohee Maeng, Seunghwan Seo, Kyoung‐Yong Chun, Chang‐Soo Han   +4 more
wiley   +1 more source

Digital watermarking for virtual physically unclonable function data concealment and authentication. [PDF]

Sci Rep
Khan R, Saleh H, Mefgouda B, Alhussein O, Muhaidat S.   +4 more
europepmc   +1 more source

Liquid Metals in Radio Frequency Applications: A Review of Physics, Manufacturing, and Emerging Technologies

Advanced Electronic Materials, EarlyView.
This paper reviews the physics of liquid metals in RF devices, including the influence of mechanical strain on resonance as well as fabrication methods and strategies for designing tunable and strain‐tolerant inductors, capacitors, and antennas.
Md Saifur Rahman, William J. Scheideler
wiley   +1 more source