Results 271 to 280 of about 145,201 (332)

Observation of pseudospin Berry phase as a signature of nontrivial band topology in a coupled electron-hole system [PDF]

, 2019
F. Couëdo, Hiroshi Irie, Takafumi Akiho, K. Suzuki, Koji Onomitsu, Koji Muraki   +5 more
openalex  

Structure‐Guided Engineering of a Promiscuous O‐Methyltransferase for a SAM Regeneration Biocatalysis Platform of Methylated Pharmaceuticals

Advanced Science, EarlyView.
A substrate promiscuous and regioselective O‐methyltransferase, SmOMT, is functionally and structurally characterized. A double mutant, SmOMTE152A/I306A, exhibited enhanced catalytic activity. By coupling this mutant with a mutant halide methyltransferase, AtHMTV140T, for SAM regeneration, a superior artificial fusion enzyme, AtHMTV140T‐L95‐SmOMTE152A ...
Xiran Xiong, Jun Song, Shihan Li, Lu Jin, Qi He, Baohui Zhang, Yan Cao, Shanyong Yi, Yanfang Yang, Xiang Li, Juan Li, Wei Huang   +11 more
wiley   +1 more source

FLT3LG as an inflammatory hub bridging tumor immune surveillance to therapy response in breast cancer. [PDF]

Clin Exp Med
Lu Y, Li X, Chao T, Xiong H, Yao W.
europepmc   +1 more source

3D‐MOF‐Lattice Inspired Programmable Metamaterials Based on Reconfigurable Polyhedral Origami

Advanced Science, EarlyView.
A novel metamaterial design strategy: inspired by MOFs crystal networks, creating reconfigurable modular polyhedral units to overcome the limitations of traditional materials. These modules exhibit adjustable stiffness, bistability, and Poisson's ratio that can be adjusted from negative to positive values.
Xi Kang, Yangqin Zhang, Hongshuang Fan, Ziyan Xu, Yue Dong, Bing Li   +5 more
wiley   +1 more source

Elucidate senescence-related gene signature and immune infiltration landscape in abdominal aortic aneurysm. [PDF]

PLoS One
Li J, Ying R, Luo J, Guo X, Zhang M.
europepmc   +1 more source

Multi‐Tissue Genetic Regulation of RNA Editing in Pigs

Advanced Science, EarlyView.
This study presents the first multi‐tissue map of RNA editing and its genetic regulation in pigs. By integrating RNA editing profiles, edQTL mapping, GWAS, and cross‐species comparisons, this work establishes RNA editing as a distinct regulatory layer linking genetic variation to complex traits, highlighting its functional and evolutionary significance.
Xiangchun Pan, Wentao Gong, Xiaodian Cai, Jinyan Teng, Jiali Cai, Haonan Zeng, Wondossen Ayalew, Qingpeng Shen, Zhanming Zhong, Yifei Wang, Wenjing Zhang, Yuhan Tian, Dantong Xu, Yahui Gao, Hongwei Yin, Yuebo Zhang, Jiahui Hou, Tianru Zhou, Jiaqi Li, Lingzhao Fang, Xiaolong Yuan, Zhe Zhang   +21 more
wiley   +1 more source

Transport signatures of quantum phase transitions and the interplay of geometry and topology in nodal materials

, 2016
Benjamin J. Wieder
openalex   +1 more source

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Integrative analysis reveals prognostic value of cuproptosis and copper hemostasis related genes in immunotherapy for non-small cell lung cancer. [PDF]

NPJ Precis Oncol
Dong D, Wang Y, Lu T, Han Y, Shi L, Cao Y, Zhang J, Zhang Y, Li H.   +8 more
europepmc   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source