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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 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,...
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.
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Protein Complex Assembly02:41

Protein Complex Assembly

Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
Protein Complex Assembly02:41

Protein Complex Assembly

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Many viruses self-assemble into a fully functional unit using the infected host cell to...
Protein Translocation Machinery on the ER Membrane01:28

Protein Translocation Machinery on the ER Membrane

The translocon complex situated on the ER membrane is the main gateway for the protein secretory pathway. It facilitates the transport of nascent peptides into the ER lumen and their insertion into the ER membrane.
Sec61 protein conducting channel
In eukaryotes, the translocon complex comprises a core heterotrimeric translocator channel called the Sec61 complex. This channel includes three transmembrane proteins, Sec61α, Sec61β, and Sec61γ, and is the largest subunit of the translocon complex.

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Related Experiment Video

Updated: May 18, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

MESSA: MEta-Server for protein Sequence Analysis.

Qian Cong1, Nick V Grishin

  • 1Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, TX 75390-9050, USA.

BMC Biology
|October 4, 2012
PubMed
Summary
This summary is machine-generated.

We developed a MEta-Server for protein Sequence Analysis (MESSA) to provide comprehensive protein structure and function predictions. MESSA accurately predicts protein properties, covering 75% of residues and predicting the function of 80% of proteins tested.

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Last Updated: May 18, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
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Published on: July 12, 2022

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16:41

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Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

Published on: December 22, 2017

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Computational sequence analysis aids in predicting protein properties like structure and function.
  • Existing meta-servers often focus on specific analysis aspects.
  • Integrating diverse predictions (local properties, structure, function) is beneficial due to their interdependence.

Purpose of the Study:

  • To develop a comprehensive meta-server for protein sequence analysis.
  • To integrate predictions of local sequence properties, homology, structure, and function.
  • To facilitate efficient protein information retrieval through a unified platform.

Main Methods:

  • Developed the MEta-Server for protein Sequence Analysis (MESSA).
  • Integrated multiple prediction tools for local sequence properties (e.g., secondary structure, disordered regions, transmembrane helices).
  • Incorporated tools for homology detection, protein family assignment, structure template identification, and structure modeling.
  • Included functional prediction modules (e.g., Gene Ontology terms, enzyme classification).

Main Results:

  • MESSA provides predictions for local sequence properties, homology, structure, and function.
  • Tested on the *Candidatus Liberibacter asiaticus* proteome.
  • Generated three-dimensional structure models covering approximately 75% of residues.
  • Successfully predicted the function of 80% of the proteins in the tested proteome.

Conclusions:

  • MESSA offers a comprehensive solution for protein sequence analysis.
  • The server effectively integrates diverse predictive capabilities.
  • MESSA demonstrates high coverage and accuracy in structure modeling and function prediction.