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Related Concept Videos

A Protocol for Computer-Based Protein Structure and Function Prediction16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

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Guidelines for computer based structural and functional characterization of protein using the I-TASSER pipeline is described. Starting from query protein sequence, 3D models are generated using multiple threading alignments and iterative structural assembly simulations. Functional inferences are thereafter drawn based on matches to proteins with known structure and...
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Structural Protein Function01:56

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Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to...
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Protein and Protein Structure02:15

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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Here, we present a protocol to utilize the latest version of the US Environmental Protection Agency Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) tool. This protocol demonstrates the application of the online tool to rapidly analyze protein conservation and provide customizable and easily interpretable predictions of chemical susceptibility across...
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A protocol for the online investigation of protein sequence-structure-dynamics relationships using Bio3D-web is presented.
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Related Experiment Video

Updated: Jan 19, 2026

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

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Predicting Sequence Features, Function, and Structure of Proteins Using MESSA.

Archana S Bhat1, Nick V Grishin1,2

  • 1Department of Biophysics, University of Texas Southwestern Medical Center, Dallas, Texas.

Current Protocols in Bioinformatics
|September 17, 2019
PubMed
Summary
This summary is machine-generated.

The MEta-Server for protein Sequence Analysis (MESSA) provides comprehensive protein sequence analysis by integrating structural and functional predictions. This user-friendly web server offers consensus-based results for researchers.

Keywords:
MESSApredictionsprotein sequencestructure and function

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Last Updated: Jan 19, 2026

A Protocol for Computer-Based Protein Structure and Function Prediction
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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Structural Biology

Background:

  • Protein sequence analysis is crucial for understanding protein function and structure.
  • Existing tools often lack comprehensive integration of diverse predictive analyses.
  • A unified platform is needed to consolidate structural and functional protein data.

Purpose of the Study:

  • To introduce the MEta-Server for protein Sequence Analysis (MESSA) as a comprehensive tool for protein sequence analysis.
  • To demonstrate the accessibility and usability of the MESSA web server.
  • To guide users in interpreting the results provided by MESSA.

Main Methods:

  • MESSA integrates multiple established tools for protein analysis.
  • It gathers predictions on local sequence properties and three-dimensional structure.
  • Functional annotations include SWISS-PROT, Gene Ontology terms, and enzyme classification.

Main Results:

  • MESSA provides consensus-based predictions by leveraging multiple analysis tools.
  • The platform offers integrated structural and functional insights for query proteins.
  • User-friendly interface facilitates easy access and analysis.

Conclusions:

  • MESSA serves as an umbrella platform for predictive protein analysis.
  • It overcomes the limitations of fragmented analytical tools.
  • Freely available for non-commercial use, MESSA enhances protein research accessibility.