ArticleScientific reports2018
Prediction and characterization of human ageing-related proteins by using machine learning.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging.Experimental gerontology · 2023Pooled it
- Pooled it
- Machine Learning Analysis for Quantitative Discrimination of Dried Blood Droplets.Scientific reports · 2020Trial
- Article
- A comprehensive review of artificial intelligence as a catalyst in aging research: insights, gaps and future perspectives.Frontiers in aging · 2026Review
- Graph Neural Networks Reveal Candidate Protein Biomarkers Underlying Abdominal Aortic Aneurysm Biology.Computational and structural biotechnology journal · 2026Article
- Chaotic aging: intrinsically disordered proteins in aging-related processes.Cellular and molecular life sciences : CMLS · 2023Article
- Towards AI-driven longevity research: An overview.Frontiers in aging · 2023Review
- Towards future directions in data-integrative supervised prediction of human aging-related genes.Bioinformatics advances · 2022Article
- Assessment of Associations Between Serum Lipoprotein (a) Levels and Atherosclerotic Vascular Diseases in Hungarian Patients With Familial Hypercholesterolemia Using Data Mining and Machine Learning.Frontiers in genetics · 2022Article
- DNA Methylation Biomarkers-Based Human Age Prediction Using Machine Learning.Computational intelligence and neuroscience · 2022Article
- Improved supervised prediction of aging-related genes via weighted dynamic network analysis.BMC bioinformatics · 2021Article
- Exploiting the molecular basis of age and gender differences in outcomes of SARS-CoV-2 infections.Computational and structural biotechnology journal · 2021Article
- Identification of drug combinations on the basis of machine learning to maximize anti-aging effects.PloS one · 2021Article
- Gene biomarker discovery at different stages of Alzheimer using gene co-expression network approach.Scientific reports · 2020Article
- Potential of infrared microscopy to differentiate between dementia with Lewy bodies and Alzheimer's diseases using peripheral blood samples and machine learning algorithms.Journal of biomedical optics · 2020Article
- An improved catalogue of putative synaptic genes defined exclusively by temporal transcription profiles through an ensemble machine learning approach.BMC genomics · 2019Article
- Exploratory Gene Ontology Analysis with Interactive Visualization.Scientific reports · 2019Article
- Review
- Translocatome: a novel resource for the analysis of protein translocation between cellular organelles.Nucleic acids research · 2019Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ageing has a huge impact on human health and economy, but its molecular basis - regulation and mechanism - is still poorly understood. By today, more than three hundred genes (almost all of them function as protein-coding genes) have been related to human ageing. Although individual ageing-related genes or some small subsets of these genes have been intensively studied, their analysis as a whole has been highly limited. To fill this gap, for each human protein we extracted 21000 protein features from various databases, and using these data as an input to state-of-the-art machine learning methods, we classified human proteins as ageing-related or non-ageing-related. We found a simple classification model based on only 36 protein features, such as the "number of ageing-related interaction partners", "response to oxidative stress", "damaged DNA binding", "rhythmic process" and "extracellular region". Predicted values of the model quantify the relevance of a given protein in the regulation or mechanisms of the human ageing process. Furthermore, we identified new candidate proteins having strong computational evidence of their important role in ageing. Some of them, like Cytochrome b-245 light chain (CY24A) and Endoribonuclease ZC3H12A (ZC12A) have no previous ageing-associated annotations.
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