Results 81 to 90 of about 626 (166)
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang +8 more
wiley +1 more source
MIS12 Is Required for Kinetochore‐Microtubule Attachment in Oocyte Meiosis
A model depicting the role of MIS12 in K‐MT attachment during oocyte meiosis. The presence of MIS12 stabilizes bipolar K‐MT attachments by maintaining the function of NDC80 and its interaction with TUBB. This, in turn, promotes KNL1 assembly and subsequent SAC protein recruitment to kinetochores.
Jian Li +9 more
wiley +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
Under 660 nm visible light, Ru NCs efficiently photocatalyze nitrate‐to‐ammonium conversion and modulate oral nitrogen metabolism. They precisely perturb Veillonella parvula, block its key support to Porphyromonas gingivalis, and exert an “inhibiting without killing” antivirulence effect.
Jing Zhou +10 more
wiley +1 more source
Interdependent infrastructures rarely fail in isolation: outages in one network can cascade across layer boundaries and hinder restoration elsewhere.
Waseem Al Aqqad +4 more
doaj +1 more source
Molecular and Cellular Hallmarks of Age‐Related Vestibular Hair Cell Degeneration
This study utilizes single‐cell RNA‐seq transcriptomes, advanced imaging, and electrophysiology to examine universal and cell‐type‐specific aging signatures of vestibular hair cells. The study shows that impaired hair bundle function is a key driver of age‐related vestibular dysfunction.
Samadhi Kulasooriya +10 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
I‐doping stabilizes the cubic phase of GeTe and generates “electron‐transparent, phonon‐blocking” grain boundary networks while inducing valence‐band convergence. This synergistic structural‐electronic design enables effective electron‐phonon decoupling, achieving an exceptional average zTave of ∼1.62, a peak zT of ∼2.2, and enhanced mechanical ...
Xiaobo Tan +10 more
wiley +1 more source

