Targeted metabolic engineering guided by computational analysis of single-nucleotide polymorphisms (SNPs).
Journal article, 2013

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.

Author

Gupta Udatha

Chalmers, Chemical and Biological Engineering, Industrial biotechnology

S.B. Rasmussen

Technical University of Denmark (DTU)

T. Sicheritz-Pontén

Technical University of Denmark (DTU)

G. Panagiotou

Technical University of Denmark (DTU)

The University of Hong Kong

Methods in Molecular Biology

10643745 (ISSN) 1940-6029 (eISSN)

Vol. 985 409-428
9781627032988 (ISBN)

Subject Categories

Industrial Biotechnology

DOI

10.1007/978-1-62703-299-5_20

ISBN

9781627032988

More information

Latest update

2/28/2018