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Related Concept Videos

Protein Complex Assembly02:41

Protein Complex Assembly

Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
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Related Experiment Video

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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
12:33

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Published on: February 4, 2013

Predictive self-assembly of polyhedra into complex structures.

Pablo F Damasceno1, Michael Engel, Sharon C Glotzer

  • 1Applied Physics Program, University of Michigan, Ann Arbor, MI 48109, USA.

Science (New York, N.Y.)
|July 28, 2012
PubMed
Summary
This summary is machine-generated.

Predicting material structures from building block shapes is a key challenge. This study shows that simple measures of particle shape and local order can predict self-assembly into diverse structures like liquid crystals and crystals.

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Crystallography

Background:

  • Predicting material structure from building block attributes is a central challenge in materials science.
  • Understanding self-assembly based on building block shape offers insights into molecular ordering and crystallization processes for various entities like colloids, nanoparticles, proteins, and viruses.

Purpose of the Study:

  • To investigate the self-assembly behavior of 145 convex polyhedra driven solely by their anisotropic shapes.
  • To determine if simple measures of particle shape and local fluid order can predict the resulting assembled structures.

Main Methods:

  • Computational investigation of 145 distinct convex polyhedra.
  • Analysis of assembly driven exclusively by particle shape anisotropy.
  • Correlation of simple shape descriptors and local order parameters with emergent bulk phases.

Main Results:

  • A high propensity for thermodynamic self-assembly was observed across the studied polyhedra.
  • Significant structural diversity in assembled states was demonstrated.
  • Prediction of assembly into liquid crystal, plastic crystal, or crystalline states was achieved based on shape and local order.

Conclusions:

  • Particle shape is a dominant factor governing self-assembly into ordered structures.
  • Simple, measurable properties of building blocks can predict complex material assembly outcomes.
  • This work provides a framework for designing materials with desired structures through control of building block geometry.