  Here we present Translocatome, the first dedicated database of human
translocating proteins. 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. 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. The database is available
here: http://translocatome.linkgroup.hu
