Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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...
17.1K
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

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Nucleation Kinetics Reveals a Distinct Biological Function Space of Biomolecular Condensates.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

The second Gibbs paradox.

The Journal of chemical physics·2026
Same author

Monte Carlo methods, 70 years after "Equation of state calculations by fast computing machines" by Nicholas Metropolis, Arianna Rosenbluth, Marshall Rosenbluth, Augusta Teller, and Edward Teller (1953).

The Journal of chemical physics·2025
Same author

Cooperation and Competition of Base Pairing and Electrostatic Interactions in Mixtures of DNA Nanostars and Polylysine.

Journal of the American Chemical Society·2025
Same author

When <i>B</i><sub>2</sub> is Not Enough: Evaluating Simple Metrics for Predicting Phase Separation of Intrinsically Disordered Proteins.

The journal of physical chemistry. B·2025
Same author

Cooperation and competition of basepairing and electrostatic interactions in mixtures of DNA nanostars and polylysine.

ArXiv·2025
Same journal

Rheology of <i>Escherichia coli</i> suspensions with various bacterial morphologies and motion characteristics.

Soft matter·2026
Same journal

Stress-boundary-memory feedback drives vortical-polar transitions in softly confined active matter.

Soft matter·2026
Same journal

CAGE ionic liquids meet biomembranes: unraveling molecular mechanisms and partitioning kinetics.

Soft matter·2026
Same journal

Steady and oscillatory propulsion in reactive swimming droplets.

Soft matter·2026
Same journal

Axial forces in capillary liquid bridges of polymer solutions.

Soft matter·2026
Same journal

Dual-mode pH-programmable enzymatic hydrogel system for on-demand glucose generation.

Soft matter·2026
See all related articles

Related Experiment Video

Updated: Apr 3, 2026

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

8.1K

Self-assembly protocol design for periodic multicomponent structures.

William M Jacobs1, Daan Frenkel2

  • 1Department of Chemistry and Chemical Biology, Harvard University, 12 Oxford Street, Cambridge, MA 02139, USA. wjacobs@fas.harvard.edu.

Soft Matter
|September 26, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a predictive tool for designing nanoscale molecular superstructures. It optimizes the self-assembly of complex crystals, enabling precise control over morphology and minimizing defects.

More Related Videos

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

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Published on: February 4, 2013

22.3K
Formation of Ordered Biomolecular Structures by the Self-assembly of Short Peptides
07:26

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

Published on: November 21, 2013

13.5K

Related Experiment Videos

Last Updated: Apr 3, 2026

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly
09:34

Synthesis of Information-bearing Peptoids and their Sequence-directed Dynamic Covalent Self-assembly

Published on: February 6, 2020

8.1K
Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
12:33

Origami Inspired Self-assembly of Patterned and Reconfigurable Particles

Published on: February 4, 2013

22.3K
Formation of Ordered Biomolecular Structures by the Self-assembly of Short Peptides
07:26

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

Published on: November 21, 2013

13.5K

Area of Science:

  • Materials Science and Nanotechnology
  • Supramolecular Chemistry
  • Computational Materials Science

Background:

  • Assembling nanoscale molecular superstructures with multiple components offers precise control over morphology.
  • Previous methods enabled periodic structures with defined features using numerous building blocks.
  • Understanding nucleation and growth is crucial for designing complex ordered structures.

Purpose of the Study:

  • To develop a predictive tool for optimizing the nucleation and growth of unbounded, ordered molecular structures (crystals).
  • To investigate the non-classical nucleation and growth pathways of multicomponent crystals.
  • To demonstrate control over self-assembly pathways for creating arbitrary nanoscale patterns.

Main Methods:

  • Theoretical modeling and simulation of crystal nucleation and growth.
  • Analysis of one- and two-dimensional crystal formation with multicomponent unit cells.
  • Investigation of the influence of boundaries on crystal stability and nucleation barriers.

Main Results:

  • Nucleation barriers and growth pathways for multicomponent crystals differ significantly from simple crystals.
  • Nucleation barriers are primarily determined by local bulk crystal connectivity, independent of component number.
  • Crystal stability is affected by boundaries in non-periodic dimensions.

Conclusions:

  • A predictive tool can guide self-assembly towards target structures by incorporating key features sequentially.
  • Kinetics of nucleation and growth can be tuned independently, unlike in simple crystals, minimizing defects.
  • This approach allows optimization of formation kinetics for extended structures with complex nanoscale patterns.