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Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a polypeptide...
Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...

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A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

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

BMC Genomics
|October 10, 2008
PubMed
Summary
This summary is machine-generated.

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.

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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.