Route to Measure Exact Parameters of Bio-Nanostructures Self-Assembly

Artificial bio-nanocoatings, primarily composed of proteins, offer a broad range of applications across various fields thanks to their unique properties. Proteins, as major components of these structures, enable a high degree of customization, such as mutations, conjugation with other molecules or nanoparticles, or the inclusion of an enzymatic activity. Their ability to self-assembly simplifies the production of bio-nanocoatings, making this process efficient and environment-friendly. Despite these advantages, a comprehensive understanding of the underlying self-assembly mechanism is lacking, and the reaction rates governing this process have not been characterized. In this article, we introduce a novel method to determine the key parameters describing the self-assembly mechanism of bio-nanostructures. For the first time, this approach enables an accurate calculation of the autocatalytic and self-inhibitory parameters controlling the process. Through mathematical modeling, our method enhances the understanding of how the protein-based nanocoatings form and opens new avenues for their application in nanotechnology and synthetic biology. Improved control over the self-assembly processes may enable the development of nanomaterials optimized for specific functions, such as drug delivery, biosensing, and bioactive surface fabrication.

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Publication Details

Journal
Biomolecules
Published
2024-10-31
DOI
https://doi.org/10.3390/biom14111388
Citations
1
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.46

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article

Route to Measure Exact Parameters of Bio-Nanostructures Self-Assembly

Mikhail Kryuchkov, Jana Valnohová, Vladimir L. Katanaev
1 citations
Biomolecules
Bacteriophages and microbial interactions
0.46
article

Route to Measure Exact Parameters of Bio-Nanostructures Self-Assembly

Mikhail Kryuchkov, Jana Valnohová, Vladimir L. Katanaev
article en
1 citations

Abstract

Artificial bio-nanocoatings, primarily composed of proteins, offer a broad range of applications across various fields thanks to their unique properties. Proteins, as major components of these structures, enable a high degree of customization, such as mutations, conjugation with other molecules or nanoparticles, or the inclusion of an enzymatic activity. Their ability to self-assembly simplifies the production of bio-nanocoatings, making this process efficient and environment-friendly. Despite these advantages, a comprehensive understanding of the underlying self-assembly mechanism is lacking, and the reaction rates governing this process have not been characterized. In this article, we introduce a novel method to determine the key parameters describing the self-assembly mechanism of bio-nanostructures. For the first time, this approach enables an accurate calculation of the autocatalytic and self-inhibitory parameters controlling the process. Through mathematical modeling, our method enhances the understanding of how the protein-based nanocoatings form and opens new avenues for their application in nanotechnology and synthetic biology. Improved control over the self-assembly processes may enable the development of nanomaterials optimized for specific functions, such as drug delivery, biosensing, and bioactive surface fabrication.

BiomoleculesVol. 14(11)
University of Geneva (CH), Shandong First Medical University (CN)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, National Natural Science Foundation of China
Responsible consumption and production, Life in Land
Openalex Percentile: Top 29%
Bacteriophages and microbial interactions
0.46
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