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Conservation of Protein Domains Over Different Proteins02:26

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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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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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A Protocol for Computer-Based Protein Structure and Function Prediction
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Comparative modeling of proteins.

Gerald H Lushington1

  • 1LiS Consulting, 2933 Lankford Drive, Lawrence, KS, 66046, USA, glushington@yahoo.com.

Methods in Molecular Biology (Clifton, N.J.)
|October 22, 2014
PubMed
Summary

Protein structure prediction using comparative modeling is crucial for understanding biological functions and diseases. This updated guide details methods for accurate in silico protein structure analysis, aiding biological discovery.

Area of Science:

  • Biochemistry
  • Structural Biology
  • Computational Biology

Background:

  • Protein three-dimensional structure dictates biochemical function in health, medicine, and biotechnology.
  • Understanding protein folding is essential for comprehending biological processes and diseases.
  • Experimental characterization of all proteins is infeasible; in silico prediction is vital.

Purpose of the Study:

  • To provide an updated overview of comparative modeling for protein structure prediction.
  • To detail strategies for achieving reliable and accurate protein models.
  • To discuss advancements in automated computational tools for structure prediction.

Main Methods:

  • Comparative modeling for protein structure prediction.
  • Template selection and sequence/spatial alignment.

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  • Loop, gap, side chain modeling, refinement, and validation.
  • Main Results:

    • Comparative modeling offers efficient and accurate protein structure predictions.
    • Updated strategies enhance the reliability of predicted protein models.
    • Automated tools streamline the protein structure prediction process.

    Conclusions:

    • Protein structure prediction is critical for biological and medical discovery.
    • Comparative modeling remains a key technique for in silico structure analysis.
    • Advancements in computational tools improve the efficiency and accuracy of protein modeling.