Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Factorial Design

Factorial Design

Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...

Naturalistic Observations

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...

Predicting Molecular Geometry

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

Group Design

Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

Protein Complex Assembly

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...

You might also read

Related Articles

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

Sort by

Same author

Kinetic and Spatial Resolution by dSTORM of miniSOG-Mediated Proximity Labeling in Mammalian Cells.

Chembiochem : a European journal of chemical biology·2026

Same author

dsRADAR: Imaging and Quantifying Cellular dsRNA by Repurposing RNA Binding Proteins.

bioRxiv : the preprint server for biology·2026

Same author

Metabolic thermodynamics: pertinent reference state and energy potentials.

The FEBS journal·2026

Same author

Evasin and TSLPI Tick Salivary Antigen Subunit Vaccine Nanoparticles Induce Humoral and Cellular Immunity.

ACS nanoscience Au·2025

Same author

Asparagine Deamidation Attenuates Toxicity, Aggregation, and Microglial Responses of Alzheimer's Amyloid-β.

ACS chemical neuroscience·2025

Same author

Engineering a Coiled-Coil Protein for DARPin Presentation as a Potent SARS-CoV-2 Therapeutic.

Biomacromolecules·2025

Search research articles

Related Experiment Video

Updated: Feb 4, 2026

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

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

Published on: November 21, 2013

Biomolecular Assemblies: Moving from Observation to Predictive Design.

Corey J Wilson¹, Andreas S Bommarius^1,2, Julie A Champion¹

¹School of Chemical & Biomolecular Engineering , Georgia Institute of Technology , Atlanta , Georgia 30332 , United States.

Chemical Reviews

|October 4, 2018

Summary

Researchers are engineering biomolecular assemblies, like protein assemblies, for new materials and medical advances. Understanding natural structures drives computational design for future innovations.

More Related Videos

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

3D Printing of Biomolecular Models for Research and Pedagogy

3D Printing of Biomolecular Models for Research and Pedagogy

Published on: March 13, 2017

Related Experiment Videos

Last Updated: Feb 4, 2026

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

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

Published on: November 21, 2013

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes

Published on: March 9, 2019

3D Printing of Biomolecular Models for Research and Pedagogy

3D Printing of Biomolecular Models for Research and Pedagogy

Published on: March 13, 2017

Area of Science:

Biochemistry
Biophysics
Materials Science

Background:

Biomolecular assembly is fundamental to life, enabling cellular structure, information storage, and communication.
Precise interactions between biomolecules (nucleic acids, proteins, carbohydrates, small molecules) dictate assembly properties across scales.
Engineering biomolecular assemblies aims to mimic natural processes for applications in cellular function modulation and novel materials.

Purpose of the Study:

To review progress in engineering protein assemblies, from discovery to predictive design.
To highlight successful engineering strategies inspired by natural biomolecular assemblies.
To identify challenges and opportunities for advancing biomolecular engineering.

Main Methods:

Focus on selected examples of protein assemblies.
Trace the progression from initial discovery to engineering attempts.
Analyze the role of computational design informed by natural assembly structures.

Main Results:

Significant progress has been made in understanding and engineering protein assemblies.
Computational models are increasingly enabling the design of novel assemblies.
Engineering efforts are moving towards predictive design capabilities.

Conclusions:

Biomolecular assembly engineering holds vast potential for technological and medical breakthroughs.
Overcoming current challenges is crucial for fully harnessing biomolecules.
Continued research in this area will drive innovation in medicine and materials science.