Results 171 to 180 of about 173,300 (211)

Potential of Nanoparticle‐Based Phototherapies for Future Treatment of Uveal Melanoma

Advanced Science, EarlyView.
This review evaluates nanoparticle‐based phototherapies for uveal melanoma, highlighting emerging strategies to enhance tumor targeting, light delivery, and treatment precision. Preclinical data indicate improved efficacy and reduced toxicity, supporting their potential to enhance localized treatment and future translational advances. (Generated by the
Emilie Lambert, Christophe Nguyen, Sean Edward Dunn, Magali Gary‐Bobo, Jérôme Lacombe, Justin Moser, Frédéric Zenhausern, Jean‐Olivier Durand, Frédérique Cunin   +8 more
wiley   +1 more source

Strong Metal‐Support Interaction Driven Janus Reconstruction in PtRu Alloys for Low‐Temperature Hydrogen Storage

Advanced Science, EarlyView.
Strong metal‐support interactions (SMSI) drive the spontaneous segregation of RuPt alloy into Janus nanoparticles on CeO2, spatially partitioning Pt‐rich domains for H2 dissociation and Ru‐rich domains for toluene adsorption. This Janus nanocatalysts yield a turnover frequency of 10 906 h−1 for toluene hydrogenation at 50 °C, which is 6.7 times that of
Xingyu Zhang, Haiqiang Bai, Wenbin Li, You Wang, Yunhua Xu, Sai Zhang   +5 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

Advanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia, Siyu Li, Songming Tang, Keju Gu, Shengquan Chen   +4 more
wiley   +1 more source

scGEN: Leveraging an Adaptive Weighting Strategy for Challenging Cell Clustering in Single‐Cell RNA‐seq

Advanced Science, EarlyView.
scGEN combines attribute–structure encoding, adaptive hard‐sample weighting, and regularized zero‐inflated negative binomial loss to resolve ambiguous single‐cell states. In the developing human pituitary, refined annotations reveal Pre.Gonado cells at 7 weeks and previously obscured developmental communication networks.
Fang Huang, Dayu Hu, Yaqi Dai, Aoyi Geng, Renxiang Guan, Hao Quan, Brett A. McGregor, Zhihan Wang, Nadeem Khan, Hongsheng Zhang, Jinghua Zhang, Mingyang Xia, Xiaoqiong Gu, Di Che, Junguk Hur, Xiaoyu Cui, Kai Guo   +16 more
wiley   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

Advanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang, Jun Liu, Qi Zhao, Huilong Yin, Angang Yang, Minhua Zheng, Rui Zhang   +6 more
wiley   +1 more source

Synergistic Integration of Fe–N4 Single‐Atom Sites and Directionally Aligned Electrode Architecture for High‐Performance Lithium–Sulfur Batteries

Advanced Science, EarlyView.
A directionally ice‐templated sulfur cathode integrated with atomically dispersed Fe–N4 catalytic sites is developed for high‐performance lithium–sulfur batteries. The structure–catalysis synergy accelerates Li+ transport and polysulfide conversion, leading to high sulfur utilization and stable long‐term cycling performance.
Lin Shen, Yijia Zou, Yuming Wang, Erya Gao, Christopher S. Allen, Tianyi Zhang, Stephen J. Skinner, Nigel P. Brandon, Chun Huang   +8 more
wiley   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

Advanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge, Xiangyang Ma, Jiyan Li, Mengxiang Wang, Fuping Lu, Yihan Liu, Lin Wang   +6 more
wiley   +1 more source

Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications

Advanced Science, EarlyView.
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen, Jiahui Lai, Qiongjiao Zeng, Liangbin Zhou, Boguang Yang, Bin Zhang, Min Wang, Jiajing Zhou, Kieran Lau, Khoon S. Lim, Zhong Alan Li, Rocky S. Tuan   +11 more
wiley   +1 more source