Modeling and optimization of DNA recombination

Autor:	Kevin R. Gutshall, Jean E. Brenchley, Gregory L. Moore, Costas D. Maranas
Rok vydání:	2000
Předmět:	Sequence Matching (graph theory) Computer science General Chemical Engineering Computational biology Function (mathematics) Directed evolution Molecular biology Computer Science Applications law.invention chemistry.chemical_compound chemistry law Recombinant DNA Gene Recombination DNA
Zdroj:	Computers & Chemical Engineering. 24:693-699
ISSN:	0098-1354
DOI:	10.1016/s0098-1354(00)00319-7
Popis:	This paper discusses predictive models for quantifying the outcome of DNA recombination employed in directed evolution experiments for the generation of novel enzymes. Specifically, predictive models are outlined for (i) tracking the DNA fragment size distribution after random fragmentation and subsequent assembly into genes of full length and (ii) estimating the fraction of the assembled full length sequences matching a given nucleotide target. Based on these quantitative models, optimization formulations are constructed which are aimed at identifying the optimal recombinatory length and parent sequences for maximizing the assembly of a sought after sequence target. Computational results show that the recombination outcome is a ‘complex’ function of the recombinatory length and recombined sequences and illustrate the magnitude of improvements that can be realized.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::46236b8d31c7d229c30e399d4a6af22e https://doi.org/10.1016/s0098-1354(00)00319-7 Zobrazit plný text záznamu Full Text from ScienceDirect