Results 281 to 290 of about 1,708,308 (346)

tBid‐Mediated Genetic Ablation of Connective Tissue Cells Reveals Their Key Regulatory Function During Limb Regeneration in Axolotls

Advanced Science, EarlyView.
We establish a tBid‐mediated cell ablation system in axolotls, achieve rapid and efficient ablation of multiple cell types, including muscle stem cell, spinal cord cell, and connective tissue (CT) cells. We investigate the role of CT using tBid‐mediated CT ablation and identify its essential role for limb development and regeneration.
Yan Hu, Weimin Feng, Zitian He, Jiayi Zeng, Jingyi Tang, Shulin Li, Tongbo Yu, Sulei Fu, Hui Ma, Binbin Lu, Yanmei Liu, Ji‐Feng Fei   +11 more
wiley   +1 more source

A light-weight Graph Neural Network for the prediction of ³¹P Nuclear Magnetic Resonance signals. [PDF]

J Cheminform
Domnjuk D, de Wiljes J, Geitner R.
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

pyFLANK, a graph neural network based null distribution inference model for F_ST outlier detection. [PDF]

BMC Bioinformatics
Zhang Z, Jia W, Gomes Viana JP, Hsieh PH, Yoshikuni Y, Hudson M.   +5 more
europepmc   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

PolyT-GNN: A Graph Neural Network Framework for Data-Driven Discovery of High-Temperature Two-Way Shape Memory Polymers. [PDF]

ACS Appl Mater Interfaces
Teimouri A, Mu X, Li G.
europepmc   +1 more source

Friend, Not Foe: Lowered Tissue Reactivity to Long‐Term Polyimide Implants

Advanced Science, EarlyView.
The choice of optimal neural probe designs remains a major challenge in the field of neurotechnology. This study investigated the biocompatibility of several probe variations, including material, thickness, width, and implantation strategy. It highlights the clear advantage of soft polyimide probes over stiff silicon probes for better device ...
Corinne Orlemann, Laura M. De Santis, Paul Neering, Christian Boehler, Kirti Sharma, Arno Aarts, Tobias Holzhammer, Rik J. J. van Daal, Patrick Ruther, Maria Asplund, Roxana N. Kooijmans, Pieter R. Roelfsema   +11 more
wiley   +1 more source

SGAC: a graph neural network framework for imbalanced and structure-aware AMP classification. [PDF]

Brief Bioinform
Wang Y, Liang V, Yin N, Liu S, Segal E.
europepmc   +1 more source

Palmitic Acid Promotes Antiviral Innate Immunity via ZDHHC20‐Mediated CMPK2 Palmitoylation

Advanced Science, EarlyView.
Metabolites have important functions in innate immune activation and regulation. Wang et al. uncover metabolic regulation of antiviral immunity through CMPK2 palmitoylation, which regulates CMPK2 mitochondrial localization and is promoted by ZDHHC20 but reversed by PPT1, inhibition of which antagonizes viral infection in mice.
Yujia Wang, Zenghui Cui, Yunkai Zhang, Zhiqing Li, Xuetao Cao   +4 more
wiley   +1 more source

Towards cross-domain few-shot modulation classification: a feature transformation graph neural network approach. [PDF]

Sci Rep
Shi Y, Xu H, Qi Z, Wang D, Meng Q.
europepmc   +1 more source