Results 81 to 90 of about 198,739 (238)

DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals

Advanced Science, EarlyView.
DeepCCDS leverages prior knowledge and self‐supervised learning to model cancer driver signals for drug sensitivity prediction. It captures complex regulatory patterns enabling more biologically informed representations. The framework outperforms existing methods across datasets, offering improved accuracy and interpretability.
Jiashuo Wu, Jiyin Lai, Xilong Zhao, Ziyi Wang, Yongbao Zhang, Liqiang Wang, Yinchun Su, Yalan He, Siyuan Li, Ying Jiang, Junwei Han   +10 more
wiley   +1 more source

A Phase‐Separated SR Protein Reprograms Host Pre‐mRNA Splicing to Enhance Disease Susceptibility

Advanced Science, EarlyView.
This study identifies SR30, a splicing factor, as a negative regulator of tomato immunity. During Phytophthora infestans infection, the elevated SR30 forms nuclear condensates to suppress the alternative splicing (AS) of defense‐related genes in a phase separation manner.
Dong Yan, Jie Huang, Fengqi Tian, Haidong Shu, Han Chen, Qian Peng, Hongwei Wu, Jianlong Zhao, Anireddy S. N. Reddy, Gang Li, Yuanchao Wang, Suomeng Dong   +11 more
wiley   +1 more source

Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites

Advanced Science, EarlyView.
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou   +6 more
wiley   +1 more source

Facilitating crRNA Design by Integrating DNA Interaction Features of CRISPR‐Cas12a System

Advanced Science, EarlyView.
This study introduces a novel approach combining molecular dynamics simulations and neural network modeling to predict the Cas12a trans‐cleavage activity. By integrating sequence and molecular interaction features, prediction accuracy is enhanced, and identify key features affecting Cas12a trans‐cleavage activity.
Zhihao Yao, Wanglu Li, Kaiyu He, Hongmei Wang, Yan Xu, Qun Wu, Liu Wang, Yao Nie   +7 more
wiley   +1 more source

Genetic Regulation of Alternative Polyadenylation Provides Novel Insights into Molecular Mechanisms Underlying Non‐small Cell Lung Cancer

Advanced Science, EarlyView.
Compared with the non‐risk G allele of rs9606, the risk T allele of rs9606 decreases the binding affinity of NUDT21 for LYRM4, triggering 3'UTR shortening that stabilizes LYRM4 mRNA and elevates its expression. Increased LYRM4 expression promoted malignant phenotypes of non‐small cell lung cancer (NSCLC) cells through modulating ferroptosis, supporting
Meng Jin, Yongbiao Huang, Bin Li, Yuan Wang, Yan Li, Zhirui Chen, Zhe Tang, Chaofan Liu, Lei Zhang, Xianglin Yuan, Jianbo Tian, Bo Liu   +11 more
wiley   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source

Multi‐Omics and ‐Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset

Advanced Science, EarlyView.
This study shows that patients at risk of sepsis have a distinct metabolite and lipid signature, including serine and aminoadipic acid, in their serum before clinical diagnosis. A mouse model of sepsis with a compatible serum signature reveals underlying metabolic changes, including mitochondrial adaptation, altered serine‐dependent purine metabolism ...
Lin‐Lin Xu, Zhengyuan Zhou, Sascha Schäuble, Wolfgang Vivas, Karen Dlubatz, Michael Bauer, Sebastian Weis, Mervyn Singer, Roman Lukaszewski, Gianni Panagiotou   +9 more
wiley   +1 more source

Reliability of information about the use of antiepileptic drugs during pregnancy from three major web search engines in China. [PDF]

PLoS One, 2018
Zhu X, Qiu X, Wu D, Chen S, Xiong J, Du H, Dai Z, Hoang J, Peng A, He S, Duan J, Chen L.   +11 more
europepmc   +1 more source

Wireless Technologies for Wearable Electronics: A Review

Advanced Electronic Materials, EarlyView.
This review discusses recent advancements in wireless wearable electronics, focusing on communication technologies and power solutions. It covers key design considerations, explores wireless protocols from short‐ to long‐range networks, and examines powering methods such as integrated sources and energy harvesting.
Choong Yeon Kim, Juhyun Lee, Eun Young Jeong, Yeji Jang, Heesoo Kim, Bohyung Choi, Donggi Han, Youngjun Oh, Jae‐Woong Jeong   +8 more
wiley   +1 more source

Dry Battery Electrode Technology: From Early Concepts to Industrial Applications

Advanced Energy Materials, EarlyView.
This review highlights dry battery electrode coating as a promising approach toward environmentally friendly and efficient battery electrode production. It focuses on polytetrafluoroethylene binder based dry film methods and summarizes the historical background, recent developments for lithium‐Ion and next‐generation batteries, as well as approaches ...
Benjamin Schumm, Arthur Dupuy, Milena Lux, Christian Girsule, Susanne Dörfler, Florian Schmidt, Magdalena Fiedler, Maria Rosner, Felix Hippauf, Stefan Kaskel   +9 more
wiley   +1 more source