AIMC Topic: Gene Ontology
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Investigation of the potential molecular mechanisms of acupuncture in the treatment of long COVID: a bioinformatics approach.
Cellular and molecular biology (Noisy-le-Grand, France)
Sep 8, 2024
Long COVID is a poorly understood condition characterized by persistent symptoms following the acute phase of COVID-19, including fatigue, cognitive impairment, and joint pain. Acupuncture, a key component of traditional Chinese medicine treatment, h...
Four Genes with Seven Targeted Drugs might be Treatment for Diabetic Nephropathy and Acute Coronary Syndrome.
The Tohoku journal of experimental medicine
Jun 27, 2024
Diabetes nephropathy (DN) is a main risk factor for acute coronary syndrome (ACS), but the molecular mechanism is unknown. This research used bioinformatics approaches to uncover potential molecular mechanisms and drugs for DN and ACS. GSE142153 and ...
On knowing a gene: A distributional hypothesis of gene function.
Cell systems
May 28, 2024
As words can have multiple meanings that depend on sentence context, genes can have various functions that depend on the surrounding biological system. This pleiotropic nature of gene function is limited by ontologies, which annotate gene functions w...
Identification of Age-Related Characteristic Genes Involved in Severe COVID-19 Infection Among Elderly Patients Using Machine Learning and Immune Cell Infiltration Analysis.
Biochemical genetics
Apr 24, 2024
Elderly patients infected with severe acute respiratory syndrome coronavirus 2 are at higher risk of severe clinical manifestation, extended hospitalization, and increased mortality. Those patients are more likely to experience persistent symptoms an...
Identification of Protein-Protein Interaction Associated Functions Based on Gene Ontology.
The protein journal
Mar 4, 2024
Protein-protein interactions (PPIs) involve the physical or functional contact between two or more proteins. Generally, proteins that can interact with each other always have special relationships. Some previous studies have reported that gene ontolo...
Feature engineering from meta-data for prediction of differentially expressed genes: An investigation of Mus musculus exposed to space-conditions.
Computational biology and chemistry
Feb 6, 2024
Transcription profiling is a key process that can reveal those biological mechanisms driving the response to various exposure conditions or gene perturbations. In this work, we investigate the prediction of differentially expressed genes (DEGs) when ...
Molecular Investigation and Preliminary Validation of Candidate Genes Associated with Neurological Damage in Heat Stroke.
Molecular neurobiology
Jan 31, 2024
Heat stroke (HS) is a severe medical condition characterized by a systemic inflammatory response that may precipitate multi-organ dysfunction, with a particular predilection for inducing profound central nervous system impairments. We aim to employ b...
Using published pathway figures in enrichment analysis and machine learning.
BMC genomics
Nov 25, 2023
Pathway Figure OCR (PFOCR) is a novel kind of pathway database approaching the breadth and depth of Gene Ontology while providing rich, mechanistic diagrams and direct literature support. Here, we highlight the utility of PFOCR in disease research in...
Implementing link prediction in protein networks via feature fusion models based on graph neural networks.
Computational biology and chemistry
Nov 5, 2023
MOTIVATION: Protein-protein interactions serve as the cornerstone for various biochemical processes within biological organisms. Existing research methodologies predominantly employ link prediction techniques to analyze these interaction networks. Ho...
Identification of Potential Neddylation-related Key Genes in Ischemic Stroke based on Machine Learning Methods.
Molecular neurobiology
Nov 1, 2023
Ischemic stroke (IS) is a complex neurological disease that can lead to severe disability or even death. Understanding the molecular mechanisms involved in the occurrence and progression of IS is of great significance for developing effective treatme...
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