AIMC Topic: Adaptor Proteins, Signal Transducing
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Characteristic genes and immune landscape of interstitial cystitis.
PloS one
May 28, 2025
BACKGROUND: Interstitial cystitis (IC) was still a disease with the exclusive diagnosis and lacked an effective gold standard. It was of great significance to find diagnostic markers for IC. Our study was aimed to screen characteristic genes via mach...
Interpreting regulatory mechanisms of Hippo signaling through a deep learning sequence model.
Cell genomics
Apr 1, 2025
Signaling pathway components are well studied, but how they mediate cell-type-specific transcription responses is an unresolved problem. Using the Hippo pathway in mouse trophoblast stem cells as a model, we show that the DNA binding of signaling eff...
Hippo Signaling Pathway
YAP-Signaling Proteins
TEA Domain Transcription Factors
Trophoblasts
Enhancer Elements, Genetic
Signal Transduction
Muscle Proteins
Transcription Factors
Protein Serine-Threonine Kinases
Adaptor Proteins, Signal Transducing
DNA-Binding Proteins
Molecular Dynamics Simulation
Phosphoproteins
Animals
Deep Learning
Protein Binding
Mice
Feature gene selection and functional validation of SH3KBP1 in infantile hemangioma using machine learning.
Biochemical and biophysical research communications
Feb 10, 2025
BACKGROUND: Infantile hemangioma (IH) is a prevalent vascular tumor in infancy with a complex pathogenesis that remains unclear. This study aimed to investigate the underlying mechanisms of IH using comprehensive bioinformatics analyses and in vitro ...
Cross-disease transcriptomic analysis reveals DOK3 and PAPOLA as therapeutic targets for neuroinflammatory and tumorigenic processes.
Frontiers in immunology
Dec 12, 2024
OBJECTIVE: Subarachnoid hemorrhage (SAH) and tumorigenesis share numerous biological complexities; nevertheless, the specific gene expression profiles and underlying mechanisms remain poorly understood. This study aims to identify differentially expr...
Combining bioinformatics and machine learning to identify diagnostic biomarkers of TB associated with immune cell infiltration.
Tuberculosis (Edinburgh, Scotland)
Oct 11, 2024
OBJECTIVE: The asymptomatic nature of tuberculosis (TB) during its latent phase, combined with limitations in current diagnostic methods, makes accurate diagnosis challenging. This study aims to identify TB diagnostic biomarkers by integrating gene e...
An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing.
Advances in wound care
Mar 5, 2024
The goal of this investigation was to use comprehensive prediction modeling tools and available genetic information to try to improve upon the performance of simple clinical models in predicting whether a diabetic foot ulcer (DFU) will heal. We uti...
Identification of adaptor proteins by incorporating deep learning and PSSM profiles.
Methods (San Diego, Calif.)
Nov 22, 2022
Adaptor proteins, also known as signal transduction adaptor proteins, are important proteins in signal transduction pathways, and play a role in connecting signal proteins for signal transduction between cells. Studies have shown that adaptor protein...
A lightweight classification of adaptor proteins using transformer networks.
BMC bioinformatics
Nov 4, 2022
BACKGROUND: Adaptor proteins play a key role in intercellular signal transduction, and dysfunctional adaptor proteins result in diseases. Understanding its structure is the first step to tackling the associated conditions, spurring ongoing interest i...
Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.
Science translational medicine
Jul 6, 2022
Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enlargement of left ventricular chambers. These characteristics eventually lead to heart failure. Current standards of care do not target the underlying ...
Identification of biomarkers for acute leukemia via machine learning-based stemness index.
Gene
Aug 16, 2021
Traditional methods to understand leukemia stem cell (LSC)'s biological characteristics include constructing LSC-like cells and mouse models by transgenic or knock-in methods. However, there are some potential pitfalls in using this method, such as r...
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