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Related Experiment Video

Updated: Apr 1, 2026

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

I-PV: a CIRCOS module for interactive protein sequence visualization.

Ibrahim Tanyalcin¹, Carla Al Assaf², Alexander Gheldof³

¹Center for Medical Genetics, UZ Brussel, Brussels, Belgium, Neurogenetics Research Group, Vrije Universiteit Brussel, Brussels, Belgium.

Bioinformatics (Oxford, England)

|October 11, 2015

Summary

This summary is machine-generated.

This study introduces i-PV, an interactive module for visualizing protein sequence, conservation, and SNV data. It addresses the challenge of consolidating vast protein information into an accessible format.

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Last Updated: Apr 1, 2026

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Area of Science:

Bioinformatics
Genomics
Proteomics

Background:

Genome browsers and protein databanks offer extensive protein data.
Integrating this information into an easily digestible format presents a significant challenge.

Purpose of the Study:

To develop an interactive tool for visualizing protein data.
To address the need for a concise and accessible protein information format.

Main Methods:

Developed an interactive CIRCOS module named i-PV.
i-PV visualizes user-supplied protein sequence, conservation, and single nucleotide variant (SNV) data.

Main Results:

i-PV provides a live, presentable format for complex protein data.
The tool facilitates the consolidation of information from various sources.

Conclusions:

i-PV offers a solution for presenting vast protein data interactively.
The module simplifies the generation of comprehensive protein visualizations.