A DNA computing-based genetic program for in vitro protein evolution via constrained pseudomodule shuffling

John A. Rose, Mitsunori Takano, Masami Hagiya, Akira Suyama

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

An in vitro domainal shuffling strategy for protein evolution was proposed in (J. Kolkman and W. Stemmer, Nat. Biotech. 19 (423) 2001). Due to backhybridization, however this method appears unlikely to be an efficient means of iteratively generating massive libraries of combinatorially shuffled genes. Recombination at the domain level (30-300 residues) also appears too coarse to support the evolution of proteins with substantially new folds. In this work, the module (10-25 residues long) and pseudomodule are adopted as the fundamental units of protein structure. Each protein is modelled as an N to C-terminal tour of a digraph composed of pseudomodules. An in vitro method based on PNA-mediated Whiplash PCR (PWPCR), RNA-protein fusion, and restriction-based recombination, XWPCR is then presented for evolving proteins with a high affinity for a given motif, subject to the constraint that each corresponds to a walk on the pseudomodule digraph of interest. Simulations predict that PWPCR is an efficient method of producing massive, shuffled gene libraries encoding for proteins as long as roughly 600 residues.

Original languageEnglish
Pages (from-to)139-152
Number of pages14
JournalGenetic Programming and Evolvable Machines
Volume4
Issue number2
DOIs
Publication statusPublished - 2003 Jun
Externally publishedYes

Fingerprint

DNA Computing
DNA
Proteins
Protein
Recombination
Digraph
Gene
Fundamental Units
Genes
Protein Structure
Walk
Affine transformation
RNA
Fusion
Encoding
Fold
Fusion reactions
Restriction
Predict
Module

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

A DNA computing-based genetic program for in vitro protein evolution via constrained pseudomodule shuffling. / Rose, John A.; Takano, Mitsunori; Hagiya, Masami; Suyama, Akira.

In: Genetic Programming and Evolvable Machines, Vol. 4, No. 2, 06.2003, p. 139-152.

Research output: Contribution to journalArticle

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