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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.
The primary structure of a protein is its amino acid sequence....
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Protein Folding01:25

Protein Folding

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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.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
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Protein Folding01:22

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Overview
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

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Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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Corrigendum to "All-Atom Four-Body Knowledge-Based Statistical Potentials to Distinguish Native Protein Structures from Nonnative Folds".

BioMed research international·2018
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Related Experiment Video

Updated: Feb 19, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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All-Atom Four-Body Knowledge-Based Statistical Potentials to Distinguish Native Protein Structures from Nonnative

Majid Masso1

  • 1School of Systems Biology, George Mason University, 10900 University Blvd. MS 5B3, Manassas, VA 20110, USA.

Biomed Research International
|November 10, 2017
PubMed
Summary

Researchers developed a new atomic four-body statistical potential for protein structure prediction. This method accurately assesses native protein folds and calculates binding energies, outperforming existing models.

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Area of Science:

  • Computational Biology
  • Structural Biology
  • Biophysics

Background:

  • Protein folding is crucial for biological function, and accurate structure prediction remains a challenge.
  • Coarse-grained models and empirical energy functions have advanced protein structure understanding.
  • Distinguishing native protein structures from nonnative decoys is essential for reliable prediction.

Purpose of the Study:

  • To develop and evaluate novel all-atom four-body statistical potentials for protein structure prediction.
  • To assess the performance of these potentials against existing physics- and knowledge-based models.
  • To demonstrate the potential's utility in calculating binding energies for protein-ligand complexes.

Main Methods:

  • Utilized atomic coordinates from a diverse protein chain training set.
  • Developed twelve all-atom four-body statistical potentials by varying key parameters.
  • Employed Delaunay tessellation to identify interacting atom quadruplets.
  • Applied statistical analysis and the inverted Boltzmann principle to generate atomic potentials.
  • Evaluated potentials using the Decoys-'R'-Us benchmarking dataset.

Main Results:

  • The best developed potential ranked third overall, matching CHARMM19 and exceeding AMBER force field potentials.
  • Demonstrated the potential's effectiveness in distinguishing native protein structures from decoys.
  • Successfully applied a generalized version to calculate binding energies for HIV-1 protease-inhibitor complexes.

Conclusions:

  • The developed atomic four-body statistical potential offers an accurate and efficient method for protein structure prediction and assessment.
  • This potential provides a valuable tool for computational biology and drug discovery.
  • The findings highlight the significance of four-body interactions in accurately modeling protein structures.