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Related Experiment Video

Updated: Aug 22, 2025

Creating Highly Specific Chemically Induced Protein Dimerization Systems by Stepwise Phage Selection of a Combinatorial Single-Domain Antibody Library

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Antibody Affinity Maturation Using Computational Methods: From an Initial Hit to Small-Scale Expression of Optimized

Barbara Medagli¹, Miguel A Soler^2,3, Rita De Zorzi⁴

¹Department of Chemical and Pharmaceutical Sciences, University of Trieste, Trieste, Italy. bmedagli@units.it.

Methods in Molecular Biology (Clifton, N.J.)

|November 8, 2022

Summary

This study introduces a computational method to enhance nanobody (VHH) binding affinity. The protocol aids in designing novel antibody fragments for specific protein targets, improving therapeutic potential.

Keywords:

Antigen Binding affinity In silico protocol Nanobodies (VHH)

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Last Updated: Aug 22, 2025

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Area of Science:

Biotechnology
Immunology
Computational Biology

Background:

Nanobodies (VHHs) are single-chain antibody fragments derived from camelid immunoglobulins.
Their small size and recombinant production facilitate computational approaches for optimization.
Current methods allow for epitope selection and design of VHHs against non-immunogenic regions.

Purpose of the Study:

To present an in silico mutagenic protocol for improving nanobody binding affinity.
To demonstrate the initial steps of in vitro production for these engineered nanobodies.
To enable the de novo design of antibody fragments targeting specific protein epitopes.

Main Methods:

Development of an in silico mutagenic protocol for VHH optimization.
Application of computational methods to enhance binding affinity (Kd).
Integration of computational design with initial in vitro production steps.

Main Results:

The protocol successfully improved the binding affinity of a low-affinity nanobody hit.
Demonstrated the feasibility of computational design for enhancing VHHs.
Laid the groundwork for ex novo VHH design against selected epitopes.

Conclusions:

The developed in silico protocol is effective for improving nanobody binding affinity.
This approach facilitates the design of novel VHHs for therapeutic applications.
The method is applicable for both optimizing existing and designing new antibody fragments.