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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.
Many viruses self-assemble into a fully functional unit using the infected host cell to...
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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Ionic Association01:28

Ionic Association

The ionic association is the association of oppositely charged ions in an electrolyte solution to form ion pairs. Bjerrum defined ion pairs as two oppositely charged ions whose electrostatic attraction exceeds the thermal energy of the system, typically expressed as 2kT. Electrostatic attraction depends on ionic charge, separation distance, and the dielectric constant of the medium. Thermal energy, represented by kT, reflects the tendency of ions to move independently due to molecular motion.
Third Law of Thermodynamics02:38

Third Law of Thermodynamics

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Second Law of Thermodynamics02:49

Second Law of Thermodynamics

In the quest to identify a property that may reliably predict the spontaneity of a process, a promising candidate has been identified: entropy. Processes that involve an increase in entropy of the system (ΔS > 0) are very often spontaneous; however, examples to the contrary are plentiful. By expanding consideration of entropy changes to include the surroundings, a significant conclusion regarding the relation between this property and spontaneity may be reached. In thermodynamic models, the...
Second Law of Thermodynamics00:53

Second Law of Thermodynamics

The Second Law of Thermodynamics states that entropy, or the amount of disorder in a system, increases each time energy is transferred or transformed. Each energy transfer results in a certain amount of energy that is lost—usually in the form of heat—that increases the disorder of the surroundings. This can also be demonstrated in a classic food web. Herbivores harvest chemical energy from plants and release heat and carbon dioxide into the environment. Carnivores harvest the chemical energy...

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Related Experiment Video

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Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
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Published on: July 17, 2019

Self-assembly by mutual association: basic thermodynamic properties.

Jacek Dudowicz1, Jack F Douglas, Karl F Freed

  • 1The James Franck Institute, Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, USA.

The Journal of Physical Chemistry. B
|April 16, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new theory for hierarchical assembly, explaining how molecules associate and polymerize. Enhanced cluster size is observed at a critical stoichiometric ratio, impacting material properties.

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Area of Science:

  • Polymer Science
  • Materials Science
  • Physical Chemistry

Background:

  • Self-assembly is crucial in natural and synthetic systems, relying on molecular interactions.
  • Hierarchical assembly involves initial association followed by polymerization into larger structures.

Purpose of the Study:

  • To develop a systematic Flory-Huggins type theory for hierarchical assembly.
  • To compute thermodynamic properties of mutual association and polymerization.
  • To analyze the impact of stoichiometry, temperature, and composition.

Main Methods:

  • Developed a Flory-Huggins type theory for mutual association and polymerization.
  • Computed thermodynamic properties like order parameter and concentration profiles.
  • Analyzed single-step and multistep association models.

Main Results:

  • Calculated thermodynamic properties as a function of key parameters.
  • Observed enhanced average cluster size at the critical stoichiometric volume fraction (p/(p + q)).
  • Compared findings with previous self-association studies.

Conclusions:

  • The developed theory provides insights into hierarchical self-assembly processes.
  • Stoichiometry plays a critical role in determining cluster size and material behavior.
  • Results align with experimental observations of viscosity peaks in polymerizing mixtures.