AIMC Topic: Proteasome Endopeptidase Complex

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Integration of Graph Neural Networks and multi-omics analysis identify the predictive factor and key gene for immunotherapy response and prognosis of bladder cancer.

Journal of translational medicine Dec 23, 2024
OBJECTIVE: The evaluation of the efficacy of immunotherapy is of great value for the clinical treatment of bladder cancer. Graph Neural Networks (GNNs), pathway analysis and multi-omics analysis have shown great potential in the field of cancer diagn...
Humans Neural Networks, Computer Prognosis Reproducibility of Results Tumor Microenvironment Cell Line, Tumor Single-Cell Analysis Computational Biology Immunotherapy Multiomics Gene Expression Regulation, Neoplastic Cell Proliferation Treatment Outcome Urinary Bladder Neoplasms Cell Movement Apoptosis Proteasome Endopeptidase Complex
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Exploring proteasome inhibition using atomic weighted vector indices and machine learning approaches.

Molecular diversity Apr 5, 2023
Ubiquitin-proteasome system (UPS) is a highly regulated mechanism of intracellular protein degradation and turnover. The UPS is involved in different biological activities, such as the regulation of gene transcription and cell cycle. Several research...
Machine Learning Algorithms Quantitative Structure-Activity Relationship Cheminformatics Proteasome Endopeptidase Complex Proteasome Inhibitors
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Massively parallel unsupervised single-particle cryo-EM data clustering via statistical manifold learning.

PloS one Aug 7, 2017
Structural heterogeneity in single-particle cryo-electron microscopy (cryo-EM) data represents a major challenge for high-resolution structure determination. Unsupervised classification may serve as the first step in the assessment of structural hete...
Computer Simulation Imaging, Three-Dimensional Image Processing, Computer-Assisted Escherichia coli Cluster Analysis Unsupervised Machine Learning Principal Component Analysis Inflammasomes Multivariate Analysis Cryoelectron Microscopy Proteasome Endopeptidase Complex Ribosome Subunits, Large, Bacterial
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