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Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
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Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
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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. 
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The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein.
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It is vital to regulate the activity of enzymatic as well as non-enzymatic proteins inside the cell. This can be achieved either through creating a balance between their rate of synthesis and degradation or regulating the intrinsic activity of the protein. Both these regulation mechanisms play an essential role in the normal functioning of cells.
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Related Experiment Video

Updated: Oct 24, 2025

Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans
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Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans

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Feedback control of protein aggregation.

Alexander J Dear1, Thomas C T Michaels1, Tuomas P J Knowles2

  • 1School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.

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|August 15, 2021
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Summary
This summary is machine-generated.

Personalized drug regimens for amyloid diseases can be optimized using stochastic control theory. This approach accounts for individual reaction variability and allows real-time treatment adjustments for improved efficacy.

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Area of Science:

  • Biochemistry
  • Pharmacology
  • Computational Biology

Background:

  • Amyloid fibril self-assembly is implicated in incurable diseases.
  • Understanding molecular mechanisms drives drug development for amyloid disorders.
  • Personalized treatment requires dosage and timing informed by aggregation kinetics.

Purpose of the Study:

  • To develop optimal treatment regimens for drugs inhibiting protein aggregation.
  • To incorporate individual variability in reaction kinetics into treatment design.
  • To explore real-time updating of treatment plans based on aggregate concentration measurements.

Main Methods:

  • Stochastic optimal control theory was applied to model treatment strategies.
  • Inhibitory drug actions targeting key protein aggregation steps were analyzed.
  • Simulations considered variability in reaction kinetics and allowed for feedback control.

Main Results:

  • Optimal treatment regimens (timing, duration, dosage) are highly dependent on the targeted reaction step.
  • Regimens can be updated dynamically using real-time measurements of protein aggregates.
  • Some optimal regimens show significant sensitivity to stochastic fluctuations.

Conclusions:

  • Tailored, feedback-controlled treatment regimens can enhance the effectiveness of therapies for amyloid diseases.
  • Stochastic optimal control provides a framework for personalized medicine in protein aggregation disorders.
  • Dynamic adjustment of drug administration is crucial for optimizing patient outcomes.