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Updated: Feb 10, 2026

Identification of Protein Interacting Partners Using Tandem Affinity Purification
Published on: February 25, 2012
RepeatsDB-lite: a web server for unit annotation of tandem repeat proteins
Layla Hirsh1,2, Lisanna Paladin1, Damiano Piovesan1
1Dept. of Biomedical Sciences, University of Padua, Padua, Italy.
RepeatsDB-lite accurately predicts repetitive protein structures, improving speed and precision for tandem repeats (TRs). This tool aids in understanding these crucial, yet often overlooked, protein families.
Area of Science:
- Structural biology
- Bioinformatics
- Computational biology
Background:
- Tandem repeats (TRs) are common in proteins but are poorly annotated.
- Understanding TRs is crucial for deciphering protein function and evolution.
Purpose of the Study:
- To introduce RepeatsDB-lite, a web server for predicting repetitive structural elements in TR proteins.
- To enhance the accuracy and computational efficiency of TR prediction.
Main Methods:
- Utilizes an improved TR unit library from the RepeatsDB database.
- Employs an iterative structural search and assignment algorithm.
- Features a web interface for analysis and manual refinement of predictions.
Main Results:
- Achieves precision above 95% for solenoid structures.
- Significantly improves computational time and accuracy compared to previous methods.
- Provides real-time visualization of sequence similarity matrices.
Conclusions:
- RepeatsDB-lite offers a powerful and efficient tool for TR prediction.
- Facilitates deeper analysis of TR protein evolution and function.
- Enables submission of reviewed predictions to the RepeatsDB database.
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