The Protein Naming Utility: a rules database for protein nomenclature.

Area of Science:

• Bioinformatics
• Computational Biology
• Molecular Biology

Background:

• Accurate protein nomenclature is crucial for functional annotation.
• Existing protein names often contain errors or inconsistencies due to homology-based naming.
• Manual correction of protein names is time-consuming and requires significant expertise.

Purpose of the Study:

• To develop a robust system for generating high-quality, unambiguous protein names.
• To address the challenge of syntactically incorrect and inconsistent protein nomenclature.
• To leverage accumulated experience in manual protein name correction.

Main Methods:

• Development of the Protein Naming Utility (PNU), a web-based database.
• PNU stores and applies user-defined and JCVI-generated naming rules.
• Supports rule collection management for diverse community conventions and checking protein names against selected rule sets.

Main Results:

• The PNU identifies and corrects syntactically incorrect protein names and replaces synonyms.
• Users can generate and manage custom collections of naming rules.
• The system can correct GenBank table files before submission.
• The database currently contains 3080 manual rules and 7458 automatically imported names.

Conclusions:

• The PNU provides an effective solution for standardizing and correcting protein names.
• It facilitates improved functional annotation through unambiguous nomenclature.
• The tool supports diverse naming conventions and aids in data submission quality.