Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://translocatome.linkgroup.hu
Full name:
Description: Translocatome is a novel database that collects and characterises manually curated and predicted translocating proteins from human cells.
Year founded: 2019
Last update: 2018.08.12
Version: v1.1
Accessibility:
Manual:
Accessible
Real time : Checking...
Country/Region: Hungary

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Semmelweis University
Address: Department of Medical Chemistry, Semmelweis University, Budapest, Hungary
City: Budapest
Province/State:
Country/Region: Hungary
Contact name (PI/Team): Daniel V Veres
Contact email (PI/Helpdesk): veres.daniel1@med.semmelweis-univ.hu

Publications

30380112
Translocatome: a novel resource for the analysis of protein translocation between cellular organelles. [PMID: 30380112]
Mendik P, Dobronyi L, Hári F, Kerepesi C, Maia-Moço L, Buszlai D, Csermely P, Veres DV.

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.

Nucleic Acids Res. 2019:47(D1) | 10 Citations (from Europe PMC, 2024-04-20)

Ranking

All databases:
3342/6000 (44.317%)
Interaction:
566/982 (42.464%)
Pathway:
202/389 (48.329%)
3342
Total Rank
9
Citations
1.8
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2019-01-04
Curated by:
Dong Zou [2019-01-07]
Dong Zou [2019-01-04]