Related Experiment Video
Updated: Jul 5, 2026

10:45
iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution
Published on: April 30, 2011
GLUE-IT and PEDEL-AA: new programmes for analyzing protein diversity in randomized libraries
Andrew E Firth1, Wayne M Patrick
1BioSciences Institute, University College Cork, Cork, Ireland.
Nucleic Acids Research
|April 30, 2008
Summary
New tools analyze protein-level diversity in randomized DNA libraries created by site-saturation mutagenesis and error-prone PCR (epPCR). These resources aid in designing libraries with predictable amino acid outcomes, enhancing protein engineering efforts.
Area of Science:
- Molecular Biology
- Bioinformatics
- Protein Engineering
Background:
- Randomized nucleic acid libraries are crucial for protein engineering.
- Previous tools assessed DNA-level diversity but lacked protein-level analysis.
- Site-saturation mutagenesis and error-prone PCR (epPCR) are common methods for library generation.
Purpose of the Study:
- To develop computational tools for analyzing amino acid diversity in randomized libraries.
- To provide experimental design assistance for creating libraries with desired protein outcomes.
- To update existing web server capabilities for translated library analysis.
Main Methods:
- Introduction of GLUE-Including Translation (GLUE-IT) for calculating expected amino acid completeness.
- Development of CodonCalculator and AA-Calculator for codon and amino acid analysis.
- Presentation of PEDEL-AA for calculating amino acid statistics from epPCR parameters.
Main Results:
- GLUE-IT analyzes libraries with up to six independently varied codons.
- CodonCalculator and AA-Calculator facilitate experimental design for specific amino acid targets.
- PEDEL-AA provides detailed amino acid statistics, including premature termination codon analysis for epPCR libraries.
Conclusions:
- The updated web server and new tools offer comprehensive analysis of protein-level diversity in randomized libraries.
- These tools are valuable for optimizing library design and improving the efficiency of protein engineering experiments.
- The analysis of translated libraries enhances the predictability of protein function from engineered DNA sequences.

