Targeted Metabolic Engineering Guided by Computational Analysis of Single-Nucleotide Polymorphisms (SNPs)

D B R K Gupta Udatha, Simon Rasmussen, Thomas Sicheritz-Pontén, Gianni Panagiotou

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

The non-synonymous SNPs, the so-called non-silent SNPs, which are single-nucleotide variations in the coding regions that give "birth" to amino acid mutations, are often involved in the modulation of protein function. Understanding the effect of individual amino acid mutations on a protein/enzyme function or stability is useful for altering its properties for a wide variety of engineering studies. Since measuring the effects of amino acid mutations experimentally is a laborious process, a variety of computational methods have been discussed here that aid to extract direct genotype to phenotype information.
Original languageEnglish
Title of host publicationSystems Metabolic Engineering : Methods and Protocols
PublisherSpringer
Publication date2013
Pages409-428
ISBN (Print)978-1-62703-298-8
ISBN (Electronic)978-1-62703-299-5
DOIs
Publication statusPublished - 2013
SeriesMethods in Molecular Biology
Volume985
ISSN1064-3745

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