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Related Concept Videos

Protein Organization01:24

Protein Organization

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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 chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
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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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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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Effective protein model structure refinement by loop modeling and overall relaxation.

Gyu Rie Lee1, Lim Heo1, Chaok Seok2

  • 1Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea.

Proteins
|July 15, 2015
PubMed
Summary
This summary is machine-generated.

Protein structure refinement using ab initio methods can fix errors from template-based predictions. Overall structure relaxation consistently improves model quality, while loop modeling and multiple structure assessment offer additional benefits.

Keywords:
ANMCASPMD relaxationloop modelingrefinementscoring function

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Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Protein modeling

Background:

  • Template-based protein structure prediction methods can introduce errors, especially with low sequence similarity.
  • Sequence variations (insertions/deletions) can lead to missing structural information in local regions like loops.
  • Ab initio structure refinement methods are crucial for improving accuracy in regions deviating from templates.

Purpose of the Study:

  • To evaluate the effectiveness of different ab initio structure refinement strategies.
  • To assess methods including overall structure relaxation, loop modeling, and multi-structure quality assessment.
  • To identify optimal refinement approaches for protein structure prediction.

Main Methods:

  • Testing three distinct ab initio refinement techniques in the CASP11 experiment.
  • Implementing overall structure relaxation for global model improvement.
  • Utilizing loop modeling for specific sequence variation regions.
  • Employing quality assessment of multiple initial structures for further refinement.

Main Results:

  • Overall structure relaxation consistently enhanced protein model quality.
  • Loop modeling proved most effective for high-quality initial models (GDT-HA >60).
  • Refinement using multiple initial structures yielded minor improvements, highlighting potential energy function limitations.

Conclusions:

  • Ab initio structure refinement, particularly overall relaxation, is a valuable approach to enhance protein model accuracy.
  • The utility of loop modeling is contingent on the quality of the initial protein model.
  • Further development of energy functions may be necessary for advanced refinement techniques.