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Targeted metabolic engineering guided by computational analysis of single-nucleotide polymorphisms (SNPs).

D.B.R.K. Gupta Udatha (Institutionen för kemi- och bioteknik, Industriell Bioteknik ) ; S.B. Rasmussen ; T. Sicheritz-Pontén ; G. Panagiotou
Methods in molecular biology (Clifton, N.J.) Vol. 985 (2013), p. 409-428.
[Artikel, refereegranskad vetenskaplig]

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.



Denna post skapades 2015-05-04. Senast ändrad 2015-05-05.
CPL Pubid: 216233

 

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Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Industriell Bioteknik (2008-2014)

Ämnesområden

Industriell bioteknik

Chalmers infrastruktur