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Protein Complex Assembly02:41

Protein Complex Assembly

17.1K
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...
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Step-Growth Polymerization: Overview01:03

Step-Growth Polymerization: Overview

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Step-growth or condensation polymerization is a stepwise reaction of bi or multifunctional monomers to form long-chain polymers. As all the monomers are reactive, most of the monomers are consumed at the early stages of the reaction to form small chains of reactive oligomers, which then combine to form long polymer chains in the late stages. Hence, the reaction has to proceed for a long time to achieve high molecular weight polymers.
Many natural and synthetic polymers are produced by...
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Generation of Straight or Branched Actin Filaments01:14

Generation of Straight or Branched Actin Filaments

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The straight or branched structure formation of actin filaments is controlled by nucleating proteins such as the formins and Arp2/3 complex. Formin-mediated assembly results in straight filaments, whereas Arp2/3 protein complex-mediated assembly results in branched actin filaments.
Arp2/3 Complex
Arp2/3 complex is a seven-subunit complex consisting of two proteins similar to actin- Arp2 and Arp3, and five other subunits that help keep Arp2 and Arp3 inactive. When required, the complex is...
4.0K
Assembly of Cytoskeletal Filaments01:18

Assembly of Cytoskeletal Filaments

28.4K
Cytoskeletal filaments are polymeric forms of smaller protein subunits. However, individual cytoskeletal filaments may easily disassemble or associate with other similar filaments to form rigid structures. Microfilaments, made of actin monomers, rely on actin-binding proteins to form bundles and create networks of individual actin filaments. Microtubules rely on microtubule-associated proteins (MAPs) to form sturdy cylindrical structures. However, the proteins involved in forming complex...
28.4K
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

3.0K
Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
3.0K
Law of Independent Assortment02:03

Law of Independent Assortment

64.5K
While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
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Related Experiment Video

Updated: Apr 1, 2026

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

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Probabilistic Analysis of Pattern Formation in Monotonic Self-Assembly.

Tyler G Moore1, Max H Garzon1, Russell J Deaton2

  • 1Department of Computer Science, University of Memphis, Memphis, TN, United States of America.

Plos One
|October 1, 2015
PubMed
Summary

This study introduces a new metric for evaluating algorithmic self-assembly systems, focusing on accuracy and purity. The developed criterion helps assess system efficiency in producing target patterns, guiding experimental design for nanoscale material fabrication.

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Area of Science:

  • Nanotechnology and Materials Science
  • Computational Biology
  • Computer Science

Background:

  • Self-assembly, inspired by biological systems, constructs complex nanoscale structures via local interactions.
  • Algorithmic self-assembly models this process computationally but often overlooks experimental randomness, errors, and yield.
  • Existing models require enhancement to address practical experimental parameters.

Purpose of the Study:

  • To develop a quantitative method for analyzing self-assembly systems based on their ability to produce target patterns accurately and with high purity.
  • To introduce a composite measure of 'efficiency' that combines accuracy and purity for comparing different assembly systems.
  • To provide insights for guiding experimental self-assembly research.

Main Methods:

  • Defining 'strong' assemblers as systems producing target patterns with high similarity and minimal errors.
  • Developing a criterion for assembly efficiency based on accuracy and purity, analogous to yield and purity in manufacturing.
  • Assessing typical algorithmic assembly examples using the new efficiency metrics.

Main Results:

  • The developed efficiency criterion allows for quantitative comparison of self-assembly systems.
  • Analysis of typical examples validates the metric and offers guidance for experimental design.
  • Established general results guarantee a minimum assembly probability for all target patterns in efficient systems.

Conclusions:

  • The proposed efficiency metric offers a robust framework for evaluating and comparing self-assembly systems.
  • This approach bridges the gap between theoretical models and experimental realities in nanoscale construction.
  • Future research can leverage these findings to optimize self-assembly processes for reliable fabrication of novel materials.