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Updated: Jun 6, 2026

Enriching Subcellular Proteins in Leptospira Using a Triton X-114-Based Fractionation Approach

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Published on: August 8, 2025

PSORTdb--an expanded, auto-updated, user-friendly protein subcellular localization database for Bacteria and Archaea.

Nancy Y Yu¹, Matthew R Laird, Cory Spencer

¹Department of Molecular Biology & Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.

Nucleic Acids Research

|November 13, 2010

Summary

PSORTdb 2.0 enhances microbial protein subcellular localization (SCL) predictions for all prokaryotes. This updated database features an automatic mechanism for SCL predictions, aiding genome annotation and research.

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Last Updated: Jun 6, 2026

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Area of Science:

Microbiology
Bioinformatics
Computational Biology

Background:

Subcellular localization (SCL) of microbial proteins is crucial for understanding protein function, potential drug targets, and experimental design.
The previous PSORTdb version offered a valuable dataset of known SCLs (ePSORTdb) and predictions for bacterial proteomes (cPSORTdb).

Purpose of the Study:

To introduce PSORTdb 2.0, an expanded and improved resource for microbial protein SCL prediction.
To provide comprehensive SCL predictions for all prokaryotes, including those with atypical cell structures.
To implement an automatic updating mechanism for SCL predictions of newly sequenced prokaryotic organisms.

Main Methods:

Utilized the latest PSORTb version 3.0 for enhanced SCL prediction accuracy and genome coverage.
Expanded the curated dataset of proteins with known SCL (ePSORTdb).
Developed a novel sequence analysis for detecting outer membrane structures to enable appropriate SCL prediction in an automated manner.

Main Results:

PSORTdb 2.0 now includes pre-computed SCL predictions for all prokaryotes (Archaea and Bacteria).
The database incorporates an automatic updating mechanism for SCL predictions.
PSORTb 3.0 demonstrates improved genome prediction coverage and functional enhancements over previous versions.

Conclusions:

PSORTdb 2.0 is a significantly enhanced resource for microbial SCL data and predictions.
The automatic updating feature makes PSORTdb 2.0 a practical and continuously relevant tool for prokaryotic genome annotation.
This resource supports broader prokaryotic research by providing accurate and up-to-date SCL information.