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Updated: Aug 22, 2025

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Use of an Influenza Antigen Microarray to Measure the Breadth of Serum Antibodies Across Virus Subtypes
Published on: July 26, 2019
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A Computational Framework for Determining the Breadth of Antibodies Against Highly Mutable Pathogens.
Simone Conti1, Martin Karplus2,3
1Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA. simonecnt@gmail.com.
Methods in Molecular Biology (Clifton, N.J.)
|November 8, 2022
Summary
Designing effective antibodies against rapidly mutating pathogens like HIV is difficult. This study introduces a method to compute antibody "breadth," improving long-lasting protection against diverse viral strains.
Area of Science:
- Immunology and Virology
- Antibody Engineering and Design
Background:
- Highly mutable pathogens, such as influenza virus and human immunodeficiency virus (HIV), present significant challenges for antibody-based therapeutics.
- Traditional antibody design criteria focusing solely on potency and specificity are often inadequate due to rapid pathogen evolution and immune evasion.
- Pathogen mutations can render designed antibodies ineffective, limiting the duration of protection.
Purpose of the Study:
- To address the limitations of current antibody design strategies for mutable pathogens.
- To introduce and describe a computational method for assessing the
- breadth
- of an antibody.
Main Methods:
- The study outlines a protocol for calculating the neutralizing breadth of antibodies.
- This method focuses on evaluating an antibody's robustness against pathogen mutability.
Main Results:
- The described method provides a quantitative measure of antibody breadth.
- This metric is crucial for identifying antibodies capable of neutralizing a wider range of pathogen variants.
Conclusions:
- Computing antibody breadth is essential for designing effective, long-lasting antibody therapies against highly mutable pathogens.
- Broadly neutralizing antibodies (bnAbs) offer a promising strategy to overcome pathogen immune evasion.
- This approach is particularly relevant for developing treatments for viruses like influenza and HIV.

