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

Research output: Contribution to journalJournal articleResearchpeer-review

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
JournalMethods in molecular biology (Clifton, N.J.)
Pages (from-to)409-28
Number of pages20
Publication statusPublished - 2013
Externally publishedYes

    Research areas

  • Amino Acid Substitution, Computational Biology, Genome, Genotyping Techniques, Metabolic Engineering, Models, Biological, Polymorphism, Single Nucleotide, Protein Stability, Saccharomyces cerevisiae/genetics, Saccharomyces cerevisiae Proteins/chemistry, Sequence Alignment, Sequence Analysis, DNA

ID: 214019471