Translocatome
 ID: | |
| Database name: | |
| Alternative name: | - |
| URL: | |
| Database maintenance site: | LINK-group |
| Country/Region: | Hungary |
| Database description: | Translocatome is a database that collects and characterises manually curated and predicted translocating proteins from human cells. The prediction is made by a gradient boosting based machine learning algorithm (XGBoost), using highly curated positive and negative learning sets. |
| Organism(s) covered: | |
| Tag - Target: | Protein |
| Tag - Information type: | Distribution, Interaction/Pathway |
| Reference(s) - PubMed ID/DOI: | PubMed ID: DOI: |
| Language(s): | English |
| Operational status: | Active |
| Link(s) to Downloadable data: | http://translocatome.linkgroup.hu/download |
| Link(s) to Metadata of downloadable data: | http://translocatome.linkgroup.hu/download |
| Link(s) to Terms of use: | http://translocatome.linkgroup.hu/help/open-source |
| Link(s) to "How to use": | - |
| Contact information of database: | http://translocatome.linkgroup.hu/help/open-source |
| Link(s) to API / SPARQL endpoint | - |
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Link to LSDB Archive:
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- |
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Link to MEDALS Database list:
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- |
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Link to TogoTV:
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- |
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Link to FAIRsharing:
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https://fairsharing.org/FAIRsharing.FL1LNB |
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Similar databases:
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EffectiveDB CropPAL Compartmentalized Protein-Protein Interaction PhaSepDB PINT VirusMentha Interologous Interaction Database ProteomicsDB Molecular INTeraction database INstruct |
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Record maintainer
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See the corresponding part in the FAIRsharing record. |
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Record source:
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 (2021-06-28)
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Date of creation of this record:
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2021-06-30 |
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Last update date of this record:
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2023-02-20 |
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Record license:
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Creative Commons Attribution and Share-alike (CC-BY-SA) International 4.0 license |