Results 201 to 210 of about 8,680,482 (304)
A deep learning framework for remaining useful life prediction of turbofan engines with partial sensor failure. [PDF]
Tang D.
europepmc +1 more source
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim +17 more
wiley +1 more source
Shelf-Life Prediction of Shrimp Gravlax Using Machine Learning: Integrating Traditional Processing with AI Modeling. [PDF]
Emir Coban O +3 more
europepmc +1 more source
Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim +11 more
wiley +1 more source
A Sensory-Centered Logistic-Arrhenius Framework for Shelf-Life Prediction of <i>Flammulina filiformis</i> Under Different Storage Temperatures. [PDF]
Ma Y, Han Z, Zhang Y, Xu S, Li C, Li Y.
europepmc +1 more source
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei +3 more
wiley +1 more source
Quality Deterioration Kinetics and Arrhenius-Based Shelf-Life Prediction of Ready-to-Eat <i>Tremella fuciformis</i> Cold Dishes. [PDF]
Chen R, Deng W, Zheng Z, Li Y.
europepmc +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source

