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Related Experiment Video

Updated: Mar 13, 2026

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Published on: August 21, 2019

High-Resolution Quantification of Two-Way Nanobody Synergy Using Automated Liquid Handling and Computational

Natasha M Bourgeois¹, Satchel W Bell¹, Jean Paul Olivier¹

¹Center for Global Infectious Disease Research, Seattle Children's Research Institute, Seattle, WA, USA.

|March 12, 2026

Summary

This summary is machine-generated.

This study introduces a reproducible protocol to quantify functional synergy between antiviral nanobody pairs. The method uses automated liquid handling and quantitative modeling to identify potent, escape-resistant biologic combinations.

Keywords:

Antivirals Automated liquid handling Nanobody Single domain antibody Synergy Therapeutics

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Last Updated: Mar 13, 2026

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Published on: July 17, 2018

Area of Science:

Biotechnology
Immunology
Virology

Background:

Evaluating functional cooperativity of single-domain antibodies is crucial for developing effective antiviral biologics.
Understanding synergistic effects between neutralizing nanobody pairs enhances rational therapeutic design.

Purpose of the Study:

To present a reproducible protocol for quantifying functional synergy between neutralizing nanobody pairs in viral infectivity assays.
To enable robust evaluation of combinatorial nanobody therapeutics.

Main Methods:

Utilized controlled automated liquid handling to prepare two-dimensional concentration matrices for nanobody pairs.
Employed quantitative models (e.g., MuSyC) to fit neutralization data, estimating potency, cooperativity, and efficacy.
Integrated experimental, computational, and visualization procedures for comprehensive analysis.

Main Results:

The protocol reproducibly quantifies functional synergy, distinguishing additive, synergistic, and antagonistic effects.
Statistically interpretable parameter estimates were achieved through replicated measurements.
The framework facilitates the systematic discovery of synergistic nanobody combinations.

Conclusions:

This framework provides a robust method for assessing nanobody cooperativity using standard equipment and open-source tools.
The protocol is broadly applicable to other classes of binding or inhibitory molecules for discovering synergistic combinations.
This approach advances the development of potent and escape-resistant antiviral biologics.