Results 91 to 100 of about 14,024,113 (261)

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

An integrated data-driven and causality crash severity model

Mathematical and Computer Modelling of Dynamical Systems
Crash injury severity models are used to assess accident impacts, yet predictive models often lack causal insight, while causal models may compromise accuracy.
Yuanyuan Xiao, Zongtao Duan
doaj   +1 more source

Research on customer churn prediction and model interpretability analysis. [PDF]

PLoS One, 2023
Peng K, Peng Y, Li W.
europepmc   +1 more source

Synergistic perspectives—How single‐molecule biophysics complement biochemical understanding

FEBS Letters, EarlyView.
In this review, we discuss how ensemble biochemistry and single‐molecule approaches are complementary, outline commonly used single‐molecule techniques, and illustrate their relevance through two representative case studies: chromatin organization by SMC complexes and pathway choice during DNA double‐strand break repair.
Sara De Bragança, Eline L. Jansen, Jorine M. Eeftens   +2 more
wiley   +1 more source

On contradictions between model interpretability and inversion attacks

Complex & Intelligent Systems
For promoting the interpretability of Artificial Intelligence (AI) models, the methods of feature visualization, including Activation Maximization, help people understand how intractable Deep Neural Networks work by visualizing the representations of ...
Muhammad Luqman Naseem, Zipeng Ye, Zhou Qi, Wenjian Luo   +3 more
doaj   +1 more source

Adversarial training improves model interpretability in single-cell RNA-seq analysis. [PDF]

Bioinform Adv, 2023
Sadria M, Layton A, Bader GD.
europepmc   +1 more source

Functional comparison of EncB and EncC cargo proteins in iron storage within the Myxococcus xanthus encapsulin

FEBS Letters, EarlyView.
Encapsulins are protein nanocompartments that play an important role in iron storage. In the Myxococcus xanthus encapsulin system, two cargo proteins called EncB and EncC contribute to iron mineralization. Here, we show that EncB and EncC generate iron‐containing minerals with distinct chemical compositions, suggesting that the composition of stored ...
Harry B. McDowell, Thomas Walther, Egbert Hoiczyk   +2 more
wiley   +1 more source

Graph attention-based dynamical and causal spatiotemporal learning for anomaly detection in additive manufacturing

Virtual and Physical Prototyping
In additive manufacturing (AM) processes, in-situ monitoring combined with machine learning (ML) approaches plays a crucial role in ensuring consistent product quality and preventing defects.
Suk Ki Lee, Wonah Kim, Sungbeom Lee, Jeonghyeon Park, Sejin Chun, Ho Yeung, Hyunwoong Ko   +6 more
doaj   +1 more source

Folder 9: Model engine data sheets and operating instructions, P - S, 1942, 1990, 1998

, 1942
MK model products advertisement for model engines.
MK Model Products
core  

Structural and biochemical analysis of a B12 superbinder

FEBS Letters, EarlyView.
BtuG proteins are vitamin B12 scavengers in Bacteroides thetaiotaomicron, a dominant human gut bacterium. We present crystal structures of three BtuG homologs bound to cobalamin and its precursor cobinamide, revealing picomolar binding affinities, among the highest known for any natural protein.
Jose M. Martinez Felices, Jacob J. Whittaker, Dirk J. Slotboom, Albert Guskov   +3 more
wiley   +1 more source