Udatha, D B R K Gupta5; Rasmussen, Simon6; Sicheritz-Pontén, Thomas6; Panagiotou, Gianni8
1 Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark2 Department of Systems Biology, Technical University of Denmark3 Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark4 CFB - Metagenomic Systems Biology, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark5 Chalmers University of Technology6 Department of Bio and Health Informatics, Technical University of Denmark7 University of Hong Kong8 University of Hong Kong
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.