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Updated: May 23, 2026

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
Published on: April 11, 2019
The PRINTS database: a fine-grained protein sequence annotation and analysis resource--its status in 2012
Teresa K Attwood1, Alain Coletta, Gareth Muirhead
1Faculty of Life Sciences, The University of Manchester, Manchester M13 9PT, UK. teresa.k.attwood@manchester.ac.uk
The PRINTS database offers protein family fingerprints for identifying protein functions and relationships. Recent updates enhance usability and accessibility of these diagnostic sequence motifs.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Biology
Background:
- The PRINTS database catalogs protein family 'fingerprints', which are conserved motif groups.
- These fingerprints serve as distinctive signatures for protein families and domains.
Purpose of the Study:
- To report the current status of the PRINTS database.
- To introduce recent developments enhancing the usability and accessibility of annotation and analysis tools.
Main Methods:
- The database utilizes conserved motifs identified through multiple sequence alignments.
- Inter-relationships between motifs form unique signatures for classification.
Main Results:
- The February 2012 release (version 42.0) contains 2156 fingerprints and 12,444 motifs.
- The collection covers diverse protein types, including globular, membrane, and modular proteins.
Conclusions:
- PRINTS aids in assigning uncharacterized sequences to known families.
- It facilitates the inference of functional, structural, and evolutionary relationships.
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