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Conjugated Proteins

Conjugated Proteins

Simple proteins and protein complexes contain only amino acids. In contrast, many other proteins, called conjugated proteins, covalently bond with non-protein moieties.
Nucleoproteins are protein complexes that contain nucleic acids, categorized as deoxyribonucleoproteins (DNPs) or ribonucleoproteins (RNPs) respectively. The nucleosome is a typical example of a DNP where nuclear DNA is associated with histone proteins. The major antigen for the Covid-19 virus SARS-CoV is an RNP that is critical...

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Related Experiment Video

Updated: May 28, 2026

Homogeneous Glycoconjugate Produced by Combined Unnatural Amino Acid Incorporation and Click-Chemistry for Vaccine Purposes

Homogeneous Glycoconjugate Produced by Combined Unnatural Amino Acid Incorporation and Click-Chemistry for Vaccine Purposes

Published on: December 19, 2020

Predictive Stability of Aggregation in Glycoconjugate Vaccines Using Advanced Kinetics Modeling and High-Throughput

Tao Ju Cui¹, Didier Clénet², Martinus A H Capelle¹

¹Johnson & Johnson, 2333 CN Leiden, The Netherlands.

|May 27, 2026

Summary

This summary is machine-generated.

Advanced Kinetics Modeling (AKM) combined with high-throughput screening (HTS) assays offers an efficient method for predicting vaccine stability. This approach reduces analytical resource needs while ensuring accurate stability predictions for vaccine development.

Keywords:

biopharmaceuticals modeling stability vaccines

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Published on: February 5, 2018

Area of Science:

Biopharmaceutical Development
Vaccine Technology
Analytical Chemistry

Background:

Predictive modeling is crucial for vaccine stability, especially with limited long-term data.
Accurate stability predictions require high-quality input, often demanding significant analytical resources.
Developing robust predictive models is essential for accelerating vaccine development and ensuring product quality.

Purpose of the Study:

To demonstrate a synergistic approach integrating high-throughput screening (HTS) techniques with Advanced Kinetics Modeling (AKM) for robust vaccine stability prediction.
To develop and validate predictive stability models using accelerated stability data.
To assess the efficiency and resource requirements of HTS assays as alternatives to traditional methods.

Main Methods:

Integration of HTS techniques (UV-VIS, intrinsic fluorescence, DLS) with Advanced Kinetics Modeling (AKM).
Application of AKM to a glycoconjugate vaccine targeting extra-intestinal pathogenic Escherichia coli (ExPEC).
Utilizing size-exclusion high-performance liquid chromatography (SE-HPLC) for aggregation analysis.

Main Results:

Kinetic models effectively described aggregation processes observed via SE-HPLC, DLS, UV-Vis absorbance (turbidity), and intrinsic fluorescence.
AKM successfully elucidated key degradation pathways using accelerated stability data across multiple temperatures.
HTS assay results demonstrated a strong correlation with SE-HPLC data.

Conclusions:

AKM provides a robust framework for describing vaccine degradation pathways.
HTS assays serve as an efficient alternative to traditional methods, requiring fewer resources and less time.
The integrated HTS-AKM approach facilitates accurate and resource-efficient vaccine stability prediction.