Results 141 to 150 of about 293,218 (322)
Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning
Privacy policies are the primary channel through which companies inform users about their data collection and sharing practices. These policies are often long and difficult to comprehend. Short notices based on information extracted from privacy policies
Aberer, Karl +5 more
core
Accurate Identification of Protein Binding Sites for All Drug Modalities Using ALLSites
ALLSites is a unified sequence‐based framework for identifying proteome‐wide binding sites across all drug modalities. It integrates a gated convolutional network with a transformer architecture to capture residue interactions directly from the sequence.
Minjie Mou +14 more
wiley +1 more source
Genome‐Wide Association Analyses Reveal the Genetic Basis of EMS Mutagenesis Efficiency in Rice
Based on large‐scale screening of 420 rice accessions, GWAS identified the Rc locus as a key regulator of EMS mutagenesis efficiency. Functional Rc alleles enhance both seed survival and genome‐wide mutation frequency by boosting antioxidant enzyme activities (CAT, SOD, POD) and reducing oxidative damage.
Peizhou Xu +9 more
wiley +1 more source
CACLENS: A Multitask Deep Learning System for Enzyme Discovery
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi +5 more
wiley +1 more source
The study provides an extreme example of insect adaptation to highly toxic defenses of host plants, and investigates the complex strategies to resist carcinogenic aristolochic acids, including physical isolation, metabolic detoxification, and DNA repair.
Yang Luan +20 more
wiley +1 more source
Artificial Intelligence Revolution in Transcriptomics: From Single Cells to Spatial Atlases
Single‐cell RNA sequencing and spatial transcriptomics have unveiled cellular heterogeneity and tissue organization with unprecedented resolution. Artificial intelligence (AI) now plays a pivotal role in interpreting these complex data. This review systematically surveys AI applications across the entire analytic workflow and offers practical guidance ...
Shixin Li +7 more
wiley +1 more source
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin +16 more
wiley +1 more source
Is There A Pure Electronic Ferroelectric?
The search for faster, more reliable ferroelectric materials has shifted from traditional lattice‐driven ferroelectrics, which rely on slow ionic displacements, to electronic ferroelectrics, where polarization is governed by electronic ordering. This shift enables ultrafast switching, low‐field operation, and resistance to fatigue.
Xudong Wang +8 more
wiley +1 more source
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne +29 more
wiley +1 more source

