ArticleNucleic acids research2019
Translocatome: a novel resource for the analysis of protein translocation between cellular organelles.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- MarkerPredict: predicting clinically relevant predictive biomarkers with machine learning.NPJ systems biology and applications · 2025Article
- Recent Advancements in Subcellular Proteomics: Growing Impact of Organellar Protein Niches on the Understanding of Cell Biology.Journal of proteome research · 2024Review
- Cellular forgetting, desensitisation, stress and ageing in signalling networks. When do cells refuse to learn more?Cellular and molecular life sciences : CMLS · 2024Review
- Article
- Translocating proteins compartment-specifically alter the fate of epithelial-mesenchymal transition in a compartmentalized Boolean network model.NPJ systems biology and applications · 2022Article
- Gene-specific machine learning model to predict the pathogenicity ofFrontiers in genetics · 2022Article
- Modular Reorganization of Signaling Networks during the Development of Colon Adenoma and Carcinoma.The journal of physical chemistry. B · 2021Article
- A Novel XGBoost Method to Infer the Primary Lesion of 20 Solid Tumor Types From Gene Expression Data.Frontiers in genetics · 2021Article
- Subcellular proteomics.Nature reviews. Methods primers · 2021Article
- The role of 3'UTR-protein complexes in the regulation of protein multifunctionality and subcellular localization.Nucleic acids research · 2020Article
- TRANSPIRE: A Computational Pipeline to Elucidate Intracellular Protein Movements from Spatial Proteomics Data Sets.Journal of the American Society for Mass Spectrometry · 2020Article
- Temporal dynamics of protein complex formation and dissociation during human cytomegalovirus infection.Nature communications · 2020Article
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8 authors.
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Abstract
Here we present Translocatome, the first dedicated database of human translocating proteins (URL: http://translocatome.linkgroup.hu). The core of the Translocatome database is the manually curated data set of 213 human translocating proteins listing the source of their experimental validation, several details of their translocation mechanism, their local compartmentalized interactome, as well as their involvement in signalling pathways and disease development. In addition, using the well-established and widely used gradient boosting machine learning tool, XGBoost, Translocatome provides translocation probability values for 13 066 human proteins identifying 1133 and 3268 high- and low-confidence translocating proteins, respectively. The database has user-friendly search options with a UniProt autocomplete quick search and advanced search for proteins filtered by their localization, UniProt identifiers, translocation likelihood or data complexity. Download options of search results, manually curated and predicted translocating protein sets are available on its website. The update of the database is helped by its manual curation framework and connection to the previously published ComPPI compartmentalized protein-protein interaction database (http://comppi.linkgroup.hu). As shown by the application examples of merlin (NF2) and tumor protein 63 (TP63) Translocatome allows a better comprehension of protein translocation as a systems biology phenomenon and can be used as a discovery-tool in the protein translocation field.
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