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Related Experiment Video

Updated: Oct 21, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

ConPlot: web-based application for the visualization of protein contact maps integrated with other data.

Filomeno Sánchez Rodríguez^1,2, Shahram Mesdaghi¹, Adam J Simpkin¹

¹Institute of Structural, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 7ZB, UK.

Bioinformatics (Oxford, England)

|September 9, 2021

Summary

This summary is machine-generated.

ConPlot is a new web application for visualizing protein residue contact maps and distograms. This tool aids in interpreting predicted contact data by integrating other sequence-based predictions for enhanced structural feature inference.

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Last Updated: Oct 21, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

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An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Area of Science:

Protein bioinformatics
Computational biology
Structural bioinformatics

Background:

Covariance-based predictions of residue contacts and inter-residue distances are vital in protein bioinformatics.
Integrating predicted contact data with other predictions is crucial for inferring protein structural features.

Purpose of the Study:

To present ConPlot, a novel web-based application for the display and analysis of protein contact maps and distograms.
To facilitate the interpretation of predicted contact maps by enabling the integration of diverse sequence-based predictions.

Main Methods:

ConPlot is a web application accessible at www.conplot.org.
It supports native reading of popular file formats and flexible display of bespoke data.
The application can also be installed locally using a Docker image.

Main Results:

ConPlot offers convenient display and analysis of contact maps and distograms.
It integrates other sequence-based predictions into the visualization using colored tracks.
The tool enhances the interpretation of predicted contact maps through novel visualization techniques.

Conclusions:

ConPlot provides a user-friendly platform for visualizing and analyzing protein contact predictions.
The integration of multiple data types in ConPlot aids in a more comprehensive understanding of protein structure.
This visualization tool is expected to streamline the interpretation of predicted protein contact data.