TY - CHAP
T1 - Targeted Metabolic Engineering Guided by Computational Analysis of Single-Nucleotide Polymorphisms (SNPs)
AU - Udatha, D B R K Gupta
AU - Rasmussen, Simon
AU - Sicheritz-Pontén, Thomas
AU - Panagiotou, Gianni
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
U2 - 10.1007/978-1-62703-299-5_20
DO - 10.1007/978-1-62703-299-5_20
M3 - Book chapter
SN - 978-1-62703-298-8
T3 - Methods in Molecular Biology
SP - 409
EP - 428
BT - Systems Metabolic Engineering : Methods and Protocols
PB - Springer
ER -