AIMC Topic: Apoptosis Regulatory Proteins

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The diagnostic value investigation of programmed cell death genes in heart failure.

BMC cardiovascular disorders Nov 22, 2024
BACKGROUND: We aimed to identify the potential diagnostic markers and associated molecular mechanisms based on programmed cell death (PCD)-related genes in patients with heart failure (HF).
Case-Control Studies Protein Interaction Maps Gene Regulatory Networks Nomograms Reproducibility of Results Gene Expression Profiling Transcriptome Heart Failure Plasminogen Activator Inhibitor 1 Gene Expression Regulation Apoptosis Regulatory Proteins Databases, Genetic Apoptosis Predictive Value of Tests Genetic Markers Humans Machine Learning
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Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Algorithms Prognosis Biomarkers, Tumor Transcriptome Humans Machine Learning Esophageal Neoplasms Mitochondria Esophageal Squamous Cell Carcinoma Apoptosis Regulatory Proteins Mitochondrial Proteins Mitophagy Single-Cell Gene Expression Analysis Cell Line, Tumor Gene Expression Regulation, Neoplastic Single-Cell Analysis Cell Proliferation RNA-Seq Cell Movement
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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 ...
Adaptor Proteins, Signal Transducing Heart Failure Myocytes, Cardiac Histone Deacetylase Inhibitors Deep Learning Mice Disease Models, Animal Apoptosis Regulatory Proteins Cardiomyopathy, Dilated Animals Ventricular Function, Left Stroke Volume
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Prediction of apoptosis protein subcellular localization via heterogeneous features and hierarchical extreme learning machine.

SAR and QSAR in environmental research Feb 26, 2019
Apoptosis is a fundamental process controlling normal tissue homeostasis by regulating a balance between cell proliferation and death. Predicting the subcellular location of apoptosis proteins is very helpful for understanding the mechanism of progra...
Support Vector Machine Amino Acids Quantitative Structure-Activity Relationship Apoptosis Regulatory Proteins Position-Specific Scoring Matrices Humans Deep Learning
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Predicting apoptosis protein subcellular localization by integrating auto-cross correlation and PSSM into Chou's PseAAC.

Journal of theoretical biology Sep 1, 2018
The prediction of subcellular localization of an apoptosis protein is still a challenging task, and existing methods mainly based on protein primary sequences. In this study, we propose a novel model called MACC-PSSM by integrating Moran autocorrelat...
Protein Transport Apoptosis Regulatory Proteins Databases, Protein Models, Biological Amino Acid Sequence Computational Biology Support Vector Machine Apoptosis
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Prediction of Apoptosis Protein's Subcellular Localization by Fusing Two Different Descriptors Based on Evolutionary Information.

Acta biotheoretica Mar 12, 2018
The apoptosis protein has a central role in the development and the homeostasis of an organism. Obtaining information about the subcellular localization of apoptosis protein is very helpful to understand the apoptosis mechanism and the function of th...
Databases, Protein Apoptosis Regulatory Proteins Biological Evolution Position-Specific Scoring Matrices Computational Biology Subcellular Fractions Humans Models, Theoretical Algorithms Support Vector Machine Apoptosis
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Subcellular localization prediction of apoptosis proteins based on evolutionary information and support vector machine.

Artificial intelligence in medicine May 24, 2017
OBJECTIVES: In this paper, a high-quality sequence encoding scheme is proposed for predicting subcellular location of apoptosis proteins.
Computational Biology Support Vector Machine Apoptosis Evolution, Molecular Proteins Databases, Protein Amino Acid Sequence Apoptosis Regulatory Proteins
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Detrended cross-correlation coefficient: Application to predict apoptosis protein subcellular localization.

Mathematical biosciences Oct 6, 2016
Apoptosis, or programed cell death, plays a central role in the development and homeostasis of an organism. Obtaining information on subcellular location of apoptosis proteins is very helpful for understanding the apoptosis mechanism. The prediction ...
Position-Specific Scoring Matrices Models, Theoretical Support Vector Machine Apoptosis Apoptosis Regulatory Proteins
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Machine Learning-based Classification of Diffuse Large B-cell Lymphoma Patients by Their Protein Expression Profiles.

Molecular & cellular proteomics : MCP Aug 26, 2015
Characterization of tumors at the molecular level has improved our knowledge of cancer causation and progression. Proteomic analysis of their signaling pathways promises to enhance our understanding of cancer aberrations at the functional level, but ...
Phosphoprotein Phosphatases Cell Line, Tumor Tissue Embedding Tissue Fixation Gene Expression Regulation, Neoplastic Humans Machine Learning Apoptosis Regulatory Proteins Proteomics Signal Transduction Biomarkers, Tumor Proteome Neoplasm Proteins Isotope Labeling Lymphoma, Large B-Cell, Diffuse Principal Component Analysis GTPase-Activating Proteins Formaldehyde Neprilysin
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Aber-OWL: a framework for ontology-based data access in biology.

BMC bioinformatics Jan 28, 2015
BACKGROUND: Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within t...
Models, Genetic Internet Semantics Biological Ontologies Databases, Factual Knowledge Humans Software Language Apoptosis Regulatory Proteins Phenotype Genome-Wide Association Study Heart Septal Defects, Ventricular Computational Biology
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