LocSigDB: a database of protein localization signals

Area of Science:

• Molecular Biology
• Cell Biology
• Bioinformatics

Background:

• Proteins require precise subcellular localization for proper cellular function.
• Protein mislocalization is implicated in the pathogenesis of numerous human diseases.
• Understanding protein sorting signals is crucial for advancing biomedical research.

Purpose of the Study:

• To create a manually curated database of experimentally determined protein localization signals.
• To provide a comprehensive resource for studying protein targeting and subcellular localization.
• To support research in cell biology and disease mechanisms.

Main Methods:

• Extensive literature review to identify and collect protein localization signals.
• Manual curation of 533 experimentally validated signals from scientific publications.
• Annotation of signals with localization, source, PubMed references, and UniProt links.
• Development of a web server for database access, including search and download functionalities.

Main Results:

• Compilation of LocSigDB, a database containing 533 experimentally determined protein localization signals.
• Signals cover eight distinct subcellular locations, primarily in eukaryotic cells.
• Database includes annotations linking signals to specific proteins, organisms, and literature sources.
• Web server provides an intuitive interface for data retrieval and analysis.

Conclusions:

• LocSigDB represents the most extensive compendium of protein localization signals to date.
• The database serves as a valuable resource for researchers investigating protein localization and its role in health and disease.
• Facilitates studies on protein sorting mechanisms and the development of therapeutic strategies targeting protein mislocalization.