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Related Experiment Video

Updated: Jan 26, 2026

Targeting Cysteine Thiols for in Vitro Site-specific Glycosylation of Recombinant Proteins

Targeting Cysteine Thiols for in Vitro Site-specific Glycosylation of Recombinant Proteins

Published on: October 4, 2017

CysView: protein classification based on cysteine pairing patterns.

Johann Lenffer¹, Paulo Lai, Wafaa El Mejaber

¹Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore.

Nucleic Acids Research

|June 25, 2004

Summary

This summary is machine-generated.

CysView is a web tool that analyzes protein disulfide connectivity patterns, classifying proteins based on cysteine pairings. This application aids in identifying protein relationships and validating sequence annotations.

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Area of Science:

Bioinformatics
Computational Biology
Structural Biology

Background:

Disulfide bonds are crucial for protein structure and function.
Identifying and classifying disulfide connectivity patterns is essential for protein analysis.
Existing tools may lack efficient methods for analyzing disulfide patterns.

Purpose of the Study:

To introduce CysView, a web-based application for identifying and classifying proteins by their disulfide connectivity.
To provide a graphical representation of cysteine pairing patterns for annotated protein sequences.
To demonstrate CysView's utility in protein classification and annotation validation.

Main Methods:

Developed a web-based application accepting annotated protein sequences in various formats.
Implemented algorithms to identify and classify disulfide connectivity patterns.
Generated graphical representations of cysteine pairing patterns.
Tested CysView using scorpion toxin entries from GenPept.

Main Results:

CysView successfully identifies and classifies proteins based on disulfide connectivity.
The tool provides a visual representation of cysteine pairing patterns.
Demonstrated utility in classifying scorpion toxins and detecting annotation errors.
Facilitates the support of distant homology detection between proteins.

Conclusions:

CysView is an effective tool for analyzing protein disulfide connectivity patterns.
It aids in protein classification, annotation quality control, and homology analysis.
The web application is publicly accessible for research use.