Results 201 to 210 of about 74,591 (269)

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

open access: yesAdvanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen   +15 more
wiley   +1 more source

Gemella morbillorum Promotes Colorectal Carcinogenesis: LPBDCP‐Mediated Invasion Activates Ras Signaling and Destabilizes p53

open access: yesAdvanced Science, EarlyView.
ABSTRACT Gut microbiota dysbiosis promotes colorectal cancer (CRC) tumorigenesis. A global fecal metagenomic analysis identified Gemella morbillorum as a key contributor to the CRC‐associated microbiota. Fluorescence in situ hybridization revealed that Gemella morbillorum is enriched in CRC tumor tissues compared to adjacent normal tissues.
Zhen Wang   +8 more
wiley   +1 more source

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

open access: yesAdvanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair   +4 more
wiley   +1 more source

Innovative Aboodh-based gractional analytical methods for nonlinear Burgers' partial differential equations. [PDF]

open access: yesSci Rep
Iqbal N   +6 more
europepmc   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

open access: yesAdvanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown   +3 more
wiley   +1 more source

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