Results 181 to 190 of about 10,487,885 (363)
A Complementarity‐Based Approach to De Novo Binder Design
A novel method for surface complementarity detection (HECTOR) enables highly efficient docking and design of protein interfaces. Applied to therapeutically relevant targets, this method yields de novo binders with potent antagonistic activity. As a first‐principles approach, HECTOR offers a training‐free solution to the binder design problem and is ...
Kateryna Maksymenko+17 more
wiley +1 more source
The premature aging‐related progerin leads to defective nuclear morphology and is associated with disrupted molecular coupling between the extranuclear cytoskeleton and lamin‐associated nuclear envelope. It is discovered that progerin expression reduces nuclear tension, forms nuclear wrinkling, and enhances chromatin dynamics, thereby regulating ...
Ji‐Eun Park+9 more
wiley +1 more source
This study developes a universal colorimetric ICA platform that integrates broad‐spectrum recognition by 4‐mercaptophenylboronic acid with dual signal enhancement—both colorimetric and catalytic—mediated by a biomimetic magnetic nanozyme. This platform, for the first time, enables simple, convenient, ultrasensitive, and simultaneous screening of ...
Qing Yu+7 more
wiley +1 more source
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+8 more
wiley +1 more source
Plasmonic molecular entrapment (PME) is label‐free detection and quantification method for DNA methylation. This technique provides direct hotspot site generation around target analytes, overcoming mismatch geometrical properties. The PME demonstrates superior SERS performance and quantification capability, offering promising potential for epigenetic ...
Muhammad Shalahuddin Al Ja'farawy+9 more
wiley +1 more source
Perovskite Neuromorphic Engine for Transformer Architectures
This paper introduces a perovskite‐based memristive computing unit that performs all necessary operations for Transformer artificial neural networks entirely in the analog domain. The system achieves comparable performance to GPU‐based systems, but with only 1.7% of the energy consumption, boosting power efficiency by 58 times.
Zhenye Zhan+5 more
wiley +1 more source
HiCGen introduces a hierarchical deep learning framework to predict genome organization across spatial scales using DNA sequences and genomic features. The model enables cross‐cell‐type predictions and in silico perturbation analysis, revealing correlations between loop domains and higher‐order structures.
Jiachen Wei, Yue Xue, Yi Qin Gao
wiley +1 more source
The electrophoretic reorganization of Ag nanoparticles within a poly(ethylene glycol) leads to the formation of conductive bridges with reconfigurable resistance states. Diverse conduction characteristics of the bridge range between ohmic conduction, nonlinear tunneling, or space charge‐limited conduction, and high resistance states.
Daniil Nikitin+19 more
wiley +1 more source
A Wearable In‐Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood
MenstruAI integrates a paper‐based biosensor into sanitary pads to detect biomarkers in menstrual blood, enabling accessible, lab‐free diagnostics health. The platform supports early disease detection, especially in underserved communities, while challenging menstrual stigma and opening pathways for scalable, inclusive, and sustainable population ...
Lucas Dosnon+3 more
wiley +1 more source