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Updated: Jun 29, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
MeDor: a metaserver for predicting protein disorder
Philippe Lieutaud1, Bruno Canard, Sonia Longhi
1Architecture et Fonction des Macromolécules Biologiques, UMR 6098 CNRS et Universités Aix-Marseille I et II, 163 Avenue de Luminy, Case 932, 13288 Marseille Cedex 09, France. Philippe.Lieutaud@afmb.univ-mrs.fr
Background:
We have previously shown that using multiple prediction methods improves the accuracy of disorder predictions. It is, however, a time-consuming procedure, since individual outputs of multiple predictions have to be retrieved, compared to each other and a comprehensive view of the results can only be obtained through a manual, fastidious, non-automated procedure. We herein describe a new web metaserver, MeDor, which allows fast, simultaneous analysis of a query sequence by multiple predictors and provides a graphical interface with a unified view of the outputs.
Results:
MeDor was developed in Java and is freely available and downloadable at: http://www.vazymolo.org/MeDor/index.html. Presently, MeDor provides a HCA plot and runs a secondary structure prediction, a prediction of signal peptides and transmembrane regions and a set of disorder predictions. MeDor also enables the user to customize the output and to retrieve the sequence of specific regions of interest.
Conclusion:
As MeDor outputs can be printed, saved, commented and modified further on, this offers a dynamic support for the analysis of protein sequences that is instrumental for delineating domains amenable to structural and functional studies.
Insights
MeDor is a new web metaserver that simplifies protein sequence analysis by simultaneously running multiple prediction methods. This tool offers a unified, graphical view of results, improving the efficiency of disorder predictions and domain delineation.
Area of Science:
- Bioinformatics
- Computational Biology
- Structural Biology
Background:
- Accurate protein disorder prediction benefits from integrating multiple methods.
- Current methods for combining predictions are manual, time-consuming, and non-automated.
- A unified view of multiple prediction outputs is challenging to achieve.
Purpose of the Study:
- To introduce MeDor, a novel web metaserver for streamlined protein sequence analysis.
- To provide a user-friendly platform for simultaneous execution of multiple prediction tools.
- To offer a unified graphical interface for consolidated analysis results.
Main Methods:
- Development of a Java-based web metaserver named MeDor.
- Implementation of simultaneous analysis of query sequences by multiple predictors.
- Creation of a graphical interface for unified output visualization.
Main Results:
- MeDor provides a HCA plot, secondary structure prediction, signal peptide and transmembrane region prediction, and disorder predictions.
- The metaserver allows users to customize outputs and retrieve specific sequence regions.
- MeDor is freely available online with a downloadable version.
Conclusions:
- MeDor offers dynamic support for protein sequence analysis.
- The tool facilitates the delineation of domains for structural and functional studies.
- MeDor enhances the efficiency and accessibility of complex bioinformatic analyses.
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