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Related Experiment Video

Updated: Jun 8, 2026

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

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

Published on: January 14, 2020

Computational design of chimeric protein libraries for directed evolution.

Jonathan J Silberg¹, Peter Q Nguyen, Taylor Stevenson

¹Cellzome AG, Heidelberg, Germany.

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

|September 14, 2010

Summary

This summary is machine-generated.

Protein recombination creates functional protein libraries, but distant relatives can disrupt structure. The Schema algorithm predicts and minimizes this disruption, enabling the creation of more stable, diverse protein variants.

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Last Updated: Jun 8, 2026

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

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Published on: January 14, 2020

Identification of Functional Protein Regions Through Chimeric Protein Construction

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Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening

Directed Evolution Method in Saccharomyces cerevisiae: Mutant Library Creation and Screening

Published on: April 1, 2016

Area of Science:

Protein engineering
Computational biology
Structural bioinformatics

Background:

Protein recombination is a powerful method for generating diverse protein libraries with numerous amino acid substitutions.
Increased structural disruption occurs when recombining distantly related homologous proteins, reducing the yield of functional variants.
Predicting structural integrity is crucial for enriching libraries with stable, functional protein chimeras.

Purpose of the Study:

To introduce the Schema algorithm for predicting structural disruption in protein chimeras.
To outline a dynamic programming approach for selecting recombination libraries with low predicted disruption.
To enhance the creation of functional protein libraries through computational prediction.

Main Methods:

Utilizing the Schema algorithm, which analyzes parent protein sequences and structures to predict chimera structural disruption.
Employing dynamic programming to identify optimal protein recombination libraries.
Developing methods to enrich libraries with variants exhibiting minimal predicted structural disruption.

Main Results:

The Schema algorithm effectively predicts the structural disruption of protein chimeras.
Dynamic programming facilitates the selection of recombination libraries with controlled amino acid substitution levels.
The combined approach enriches libraries with folded, functional protein variants.

Conclusions:

Computational prediction of structural disruption is key to successful protein recombination.
The Schema algorithm and dynamic programming offer a robust strategy for designing improved protein libraries.
This method advances the field of protein engineering by enabling the creation of more stable and diverse protein variants.