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Related Concept Videos

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...
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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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A genetic algorithm for predicting the structures of interfaces in multicomponent systems.

Alvin L-S Chua1, Nicole A Benedek, Lin Chen

  • 1Department of Physics, Imperial College London, Exhibition Road, London SW7 2AZ, UK.

Nature Materials
|March 2, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a novel atomistic method to predict the structures and energies of grain boundaries and interfaces in multicomponent systems. The approach efficiently explores configurations, enabling accurate simulations for materials like SrTiO(3).

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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Crystallography

Background:

  • Predicting crystal structures from first principles has advanced significantly.
  • Existing algorithms primarily focus on bulk crystal structures, targeting the global minimum energy state.

Purpose of the Study:

  • To develop a general atomistic approach for simulating structures and free energies of grain boundaries and heterophase interfaces in multicomponent systems.
  • To enable simulations for both stoichiometric and non-stoichiometric compositions.

Main Methods:

  • A novel genetic algorithm employing empirical interatomic potentials to explore boundary configurational phase space.
  • Refinement of structures and free energies using first-principles electronic structure methods.
  • Introduction of a structural order parameter to guide the genetic algorithm away from bulk crystal minima.

Main Results:

  • Demonstration of a powerful and efficient algorithm for interface and grain boundary simulations.
  • Successful application to non-stoichiometric grain boundaries in the ternary oxide SrTiO(3).

Conclusions:

  • The developed method provides a general approach for atomistic simulations of interfaces and grain boundaries.
  • The approach is effective for multicomponent systems with varying compositions.