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Related Concept Videos

Antibody Structure01:10

Antibody Structure

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Overview
Antibodies, also known as immunoglobulins (Ig), are essential players of the adaptive immune system. These antigen-binding proteins are produced by B cells and make up 20 percent of the total blood plasma by weight. In mammals, antibodies fall into five different classes, which each elicits a different biological response upon antigen binding.
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Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
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Decision Making01:20

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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A coplanar force system refers to a set of forces that all lie in the same plane and are subject to different reactions between the point of contact and the supports. Understanding how different types of supports affect coplanar forces is crucial for designing safe and reliable structures that can withstand external loads.
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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Overview of Advanced Functional Groups02:22

Overview of Advanced Functional Groups

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Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
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Related Experiment Video

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Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
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Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries

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High throughput process development workflow with advanced decision-support for antibody purification.

Christos Stamatis1, Stephen Goldrick1, David Gruber2

  • 1The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, Gower Street, London WC1E 6BT, UK; MedImmune Limited, Milstein Building, Granta Park, Cambridge CB1 6GH, UK.

Journal of Chromatography. A
|March 20, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a High Throughput Process Development (HTPD) workflow for antibody purification, integrating microscale chromatography with data analysis. This approach accelerates development and minimizes resource use in chromatography resin screening and optimization.

Keywords:
Chromatographic antibody purificationDecision-support toolsDesign of experimentsHigh-throughput process developmentMonte Carlo simulations

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Area of Science:

  • Biotechnology
  • Chemical Engineering
  • Biopharmaceutical Manufacturing

Background:

  • Antibody purification using chromatography is resource-intensive, requiring extensive experimentation.
  • Traditional process development is time-consuming and material-demanding, especially at small and pilot scales.

Purpose of the Study:

  • To establish a novel High Throughput Process Development (HTPD) workflow for antibody purification.
  • To minimize resource consumption and accelerate development timelines.
  • To provide a framework for automated manipulation of large datasets.

Main Methods:

  • Integration of microscale chromatography experimentation with advanced chromatogram evaluation.
  • Application of Design of Experiments (DoE) and multivariate data analysis.
  • Development of a decision-support tool using multi-criteria decision-making for resin screening.
  • Stochastic modeling for predicting optimal and robust process parameters.

Main Results:

  • A systematic methodology for screening chromatography resins and process parameters was developed.
  • The HTPD workflow enabled rational selection of superior Cation Exchange (CEX) resin candidates.
  • Insights from screening guided optimization experiments for selected resins.
  • Empirical correlations were linked to stochastic modeling for robust parameter prediction.

Conclusions:

  • The developed HTPD workflow significantly reduces resources and time for antibody purification process development.
  • This approach offers a rational and automated methodology for chromatography resin screening and process optimization.
  • The workflow facilitates the prediction of optimal and robust chromatographic conditions for desired performance criteria.