Search research articles

Related Concept Videos

Amyloid Fibrils

Amyloid Fibrils

Amyloid fibrils are aggregates of misfolded proteins. Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils.
Amyloid deposits were observed as early as 1639 in the liver and the spleen. In 1854, Rudolph Virchow performed iodine staining,...

You might also read

Related Articles

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

Sort by

Same author

[PSI]-CIC: A Deep-Learning Pipeline for the Annotation of Sectored Saccharomyces cerevisiae Colonies.

Bulletin of mathematical biology·2024

Same author

A new look at TFPI inhibition of factor X activation.

PLoS computational biology·2024

Same author

Probabilistic and maximum entropy modeling of chemical reaction systems: Characteristics and comparisons to mass action kinetic models.

The Journal of chemical physics·2024

Same author

Going through phages: a computational approach to revealing the role of prophage in <i>Staphylococcus aureus</i>.

Access microbiology·2023

Same author

Role of turgor-pressure induced boundary tension in the maintenance of the shoot apical meristem of

Journal of the Royal Society, Interface·2023

Same author

Correction: To isolate or not to isolate: the impact of changing behavior on COVID-19 transmission.

BMC public health·2022

Same journal

Correction: Characterization of Mast2 kinase defines structural features, regulation, and substrates.

The Journal of biological chemistry·2026

Same journal

Isotope-Edited ESEEM: A New Method for Probing Copper Binding Sites in Neurodegenerative Proteins.

The Journal of biological chemistry·2026

Same journal

Introduction to the Thematic Review Series on Intracellular Protein Degradation. The ubiquitous biology of intracellular protein degradation: a tribute to Alfred L. ("Fred") Goldberg.

The Journal of biological chemistry·2026

Same journal

Correction: Aromatic residue-rich amino-terminal segments of temporin L self-assemble into collagen-mimetic peptides with cell-adhesion properties.

The Journal of biological chemistry·2026

Same journal

YhbO is a DJ-1 family glyoxalase and α-oxoaldehyde hydratase that confers resistance to reactive carbonyl stress (112).

The Journal of biological chemistry·2026

Same journal

ARMH3 acts as a central scaffold at the Golgi/TGN through interactions with Arl5, GBF1, and PI4KB.

The Journal of biological chemistry·2026

See all related 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

Search research articles

Related Experiment Video

Updated: Dec 29, 2025

Investigating the Spreading and Toxicity of Prion-like Proteins Using the Metazoan Model Organism C. elegans

Investigating the Spreading and Toxicity of Prion-like Proteins Using the Metazoan Model Organism C. elegans

Published on: January 8, 2015

How and why to build a mathematical model: A case study using prion aggregation.

Mikahl Banwarth-Kuhn¹, Suzanne Sindi²

¹Department of Applied Mathematics, School of Natural Sciences, University of California, Merced, California 95343.

The Journal of Biological Chemistry

|February 2, 2020

Summary

This summary is machine-generated.

This guide helps researchers integrate mathematical modeling into biology by using conceptual diagrams to simplify complex systems. This approach connects in vitro and in vivo studies, advancing biological understanding through synergistic experimentation and modeling.

Keywords:

computational biology differential equation enzyme kinetics law of mass action mathematical methods mathematical modeling numerical analysis prion disease protein aggregation

More Related Videos

Protein Misfolding Cyclic Amplification of Prions

Protein Misfolding Cyclic Amplification of Prions

Published on: November 7, 2012

Monitoring Cell-to-cell Transmission of Prion-like Protein Aggregates in Drosophila Melanogaster

Monitoring Cell-to-cell Transmission of Prion-like Protein Aggregates in Drosophila Melanogaster

Published on: March 12, 2018

Related Experiment Videos

Last Updated: Dec 29, 2025

Investigating the Spreading and Toxicity of Prion-like Proteins Using the Metazoan Model Organism C. elegans

Investigating the Spreading and Toxicity of Prion-like Proteins Using the Metazoan Model Organism C. elegans

Published on: January 8, 2015

Protein Misfolding Cyclic Amplification of Prions

Protein Misfolding Cyclic Amplification of Prions

Published on: November 7, 2012

Monitoring Cell-to-cell Transmission of Prion-like Protein Aggregates in Drosophila Melanogaster

Monitoring Cell-to-cell Transmission of Prion-like Protein Aggregates in Drosophila Melanogaster

Published on: March 12, 2018

Area of Science:

Systems biology
Computational biology
Biophysics

Background:

Biological systems exhibit increasing complexity with advanced experimental techniques.
Mathematical models offer rigorous analysis and hypothesis generation for biological research.
Bridging the gap between mathematical and biological domains is crucial for effective modeling.

Purpose of the Study:

To provide a guide for researchers incorporating mathematical modeling into their scientific process.
To advocate for conceptual diagrams as a foundational tool for developing biological models.
To demonstrate the synergistic potential of mathematical models and experiments in advancing biological understanding.

Main Methods:

Utilizing conceptual diagrams to simplify biological processes and identify essential components.
Developing mathematical models based on scientific questions and biological insights.
Analyzing model selection based on biological scales and data availability.
Illustrating the process with a case study on prion aggregation.

Main Results:

Conceptual diagrams effectively anchor researchers from both mathematical and biological fields.
Mathematical models, guided by conceptual diagrams, can powerfully integrate with experimental data.
The chosen modeling approach significantly impacts the ability to connect different scales of biological organization.

Conclusions:

Mathematical modeling, when guided by conceptual diagrams, is a powerful tool for dissecting biological complexity.
Collaboration between experimentalists and modelers is essential for future advancements in biological sciences.
This approach facilitates the connection of in vitro findings with in vivo and whole-organism studies.