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Protein-protein Interfaces02:04

Protein-protein Interfaces

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 polypeptide...
Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
Peptide Bonds02:43

Peptide Bonds

A peptide bond covalently attaches amino acids through a dehydration reaction. One amino acid's carboxyl group and another amino acid's amino group combine, releasing a water molecule. The resulting bond is the peptide bond. The products that such linkages form are peptides. As more amino acids join this growing chain, the resulting chain is a polypeptide. Each polypeptide has a free amino group at one end. This end has the N-terminal, or the amino-terminal, and the other end has a free...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order to...
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

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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Articles linked to this work by shared authors, journal, and citation graph.

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Polypeptide foldings obtained with effective pair potentials.

The Journal of chemical physics·2005
Same author

Effective pair potentials between protein amino acids.

Physical review. E, Statistical, nonlinear, and soft matter physics·2003
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Related Experiment Video

Updated: Jul 18, 2026

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
06:50

Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions

Published on: January 26, 2024

Two-component polypeptides modeled with effective pair potentials.

P Pliego-Pastrana1, M D Carbajal-Tinoco

  • 1Departamento de Física, Centro de Investigación y de Estudios Avanzados del IPN, Apartado Postal 14-740, 07000 México D.F., Mexico.

The Journal of Physical Chemistry. B
|December 1, 2006
PubMed
Summary

Monte Carlo simulations reveal the thermodynamic equilibrium of alanine and glycine sequences. These simulations use effective potentials derived from experimental data to model protein structures.

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions
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Area of Science:

  • Computational biology
  • Biophysics
  • Protein structure prediction

Background:

  • Understanding amino acid interactions is crucial for predicting protein structure and function.
  • Effective potentials derived from experimental data provide a powerful tool for simulating molecular interactions.
  • The Ornstein-Zernike equations and closure approximations are standard methods for extracting these potentials.

Purpose of the Study:

  • To simulate and analyze the structural properties of specific alanine and glycine sequences.
  • To verify the thermodynamic equilibrium of the simulated protein structures.
  • To investigate the formation of secondary structures in these sequences.

Main Methods:

  • Monte Carlo simulations were employed.
  • Distance-dependent effective potentials, derived from experimental correlation functions via Ornstein-Zernike equations, were utilized.
  • Two specific sequences were studied: (Ala)12-(Gly)4-(Ala)12 and three alternating Ala-Gly chains.
  • Thermodynamic equilibrium was assessed through density of states estimation.

Main Results:

  • Simulated structures were found to be combinations of known secondary structures.
  • The study confirmed that the simulated structures are in thermodynamic equilibrium.
  • The methodology allows for the extraction of effective potentials from experimental data.

Conclusions:

  • The applied simulation model accurately captures the behavior of alanine and glycine sequences.
  • The findings support the validity of using effective potentials for protein structure simulation.
  • This approach provides a reliable method for verifying thermodynamic equilibrium in simulated biomolecular systems.