Results 181 to 190 of about 11,803 (264)

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

Ramifications of generalized Feller theory. [PDF]

J Evol Equ
Cuchiero C, Möllmann T, Teichmann J.
europepmc   +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

Stochastic analysis of compact stars under composite polytropes. [PDF]

Sci Rep
Nouh MI, El-Essawy SH, Foda MM, Aboueisha MS.   +3 more
europepmc   +1 more source

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Network structure induced bias in estimates of intrinsic generation times. [PDF]

PLoS Comput Biol
Kollepara PK, Poletto C, Miller JC.
europepmc   +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

Determining disease attributes from epidemic trajectories. [PDF]

Infect Dis Model
Rast MP, Rast LI.
europepmc   +1 more source

Targeting DNGR‐1 with Fangchinoline Elevates Dendritic Cell Antigen Cross‐Presentation‐Mediated Antitumor Immunity in Melanoma

Advanced Science, EarlyView.
Fangchinoline is identified as a small‐molecule DNGR‐1 modulator that enhances dendritic‐cell cross‐presentation of tumor antigens. By engaging DNGR‐1 and activating Syk–Nox2 signaling, it promotes phagosomal ROS, antigen escape, MHC‐I presentation, and CD8+ T‐cell priming, thereby strengthening antitumor immunity and sensitizing tumors to PD‐1 ...
Yuan Liao, Zhenyang Ren, Jing Zhou, He Luo, Yuling Li, Dan Chen, Yuxiao Jiang, Canzhe Li, Mengyi Zheng, Anqi Li, Yao Wang, Yang Zhang, Dingye Wang, Yanjun Jiang, Jiangyong Gu, Biaoyan Du, Yafei Shi, Fang Liu, Jianyong Xiao, Kun Wang   +19 more
wiley   +1 more source

Inferring accumulation times of mitochondrial DNA deletion mutants from cross-sectional single-cell data: methodological framework and validation. [PDF]

NPJ Aging
Kowald A, Kirkwood TBL.
europepmc   +1 more source