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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...
Microbes and Other Elemental Cycles01:24

Microbes and Other Elemental Cycles

Microbial activity plays a pivotal role in the biogeochemical cycling of iron and manganese, especially at the redox gradients characteristic of stratified aquatic environments. These cycles are driven by microbial transformations between oxidized and reduced forms of the metals, allowing organisms to exploit them for metabolic energy and structural purposes.Iron Cycling Across Redox GradientsIn neutral, oxygen-rich surface waters, iron is predominantly found in its oxidized, insoluble ferric...
Assembly of Cytoskeletal Filaments01:18

Assembly of Cytoskeletal Filaments

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...
Formation of Intermediate Filaments00:57

Formation of Intermediate Filaments

Intermediate filaments are cytoskeletal proteins with higher tensile strength and flexibility than microfilaments and microtubules. Unlike the other two cytoskeletal proteins, intermediate filament formation lacks the enzymatic activity to hydrolyze nucleotides like ATP and GTP to generate energy for polymerization. Therefore, the formation of intermediate filaments is multistep self-assembly. The involvement of any accessory proteins in intermediate filament formation has not yet been reported.
Formation of Complex Ions03:45

Formation of Complex Ions

A type of Lewis acid-base chemistry involves the formation of a complex ion (or a coordination complex) comprising a central atom, typically a transition metal cation, surrounded by ions or molecules called ligands. These ligands can be neutral molecules like H2O or NH3, or ions such as CN− or OH−. Often, the ligands act as Lewis bases, donating a pair of electrons to the central atom. These types of Lewis acid-base reactions are examples of a broad subdiscipline called coordination...
Protein Folding01:22

Protein Folding

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Related Experiment Video

Updated: Jun 14, 2026

Stable Aqueous Suspensions of Manganese Ferrite Clusters with Tunable Nanoscale Dimension and Composition
10:45

Stable Aqueous Suspensions of Manganese Ferrite Clusters with Tunable Nanoscale Dimension and Composition

Published on: February 5, 2022

Sequential self-assembly of iron structures in water.

Prasenjit Mal1, Jonathan R Nitschke

  • 1University of Cambridge, Department of Chemistry, Lensfield Road, Cambridge, UK CB2 1EW.

Chemical Communications (Cambridge, England)
|April 10, 2010
PubMed
Summary

This study presents an algorithm to predict the outcomes of sequential self-assembly processes. The algorithm accurately forecasts self-assembly products based on the input component ratios.

Area of Science:

  • Materials Science
  • Chemical Engineering
  • Computational Chemistry

Background:

  • Self-assembly is a fundamental process in nature and materials science.
  • Predicting the behavior of sequential self-assembly systems remains a challenge.
  • Understanding these systems is crucial for designing novel materials and nanostructures.

Purpose of the Study:

  • To develop a predictive model for sequential self-assembly.
  • To express the deterministic behavior of these systems algorithmically.
  • To enable accurate prediction of self-assembly products across various input ratios.

Main Methods:

  • Formulation of a deterministic algorithm.
  • Mathematical modeling of sequential self-assembly dynamics.

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Formation of Ordered Biomolecular Structures by the Self-assembly of Short Peptides

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Last Updated: Jun 14, 2026

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Formation of Ordered Biomolecular Structures by the Self-assembly of Short Peptides

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  • Validation of the algorithm against theoretical predictions and experimental data (if applicable).

    • Main Results:

    • The developed algorithm successfully predicts the products of sequential self-assembly.
    • The predictive accuracy is maintained across a wide range of input subcomponent ratios.
    • The algorithm captures the deterministic nature of the self-assembly process.

    Conclusions:

    • A robust algorithmic approach can effectively model and predict sequential self-assembly.
    • This predictive capability is essential for the rational design of self-assembled materials.
    • The findings offer a powerful tool for researchers in materials science and nanotechnology.