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- Publisher Website: 10.1007/978-1-62703-299-5_20
- Scopus: eid_2-s2.0-84880840332
- PMID: 23417815
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Book Chapter: Targeted metabolic engineering guided by computational analysis of single-nucleotide polymorphisms (SNPs)
Title | Targeted metabolic engineering guided by computational analysis of single-nucleotide polymorphisms (SNPs) |
---|---|
Authors | |
Keywords | Chromosome polymorphism. Human genetics -- Variation. Genetic markers. Microbial genetic engineering. |
Issue Date | 2013 |
Publisher | Springer |
Citation | Targeted metabolic engineering guided by computational analysis of single-nucleotide polymorphisms (SNPs). In Alper, HS (Ed.), Systems metabolic engineering : methods and protocols
, p. 409-428. Dordrecht: Springer, 2013 How to Cite? |
Abstract | 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. |
Persistent Identifier | http://hdl.handle.net/10722/191184 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 0.399 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Udatha, DB | - |
dc.contributor.author | Rasmussen, S | - |
dc.contributor.author | Sicheritz-Pontén, T | - |
dc.contributor.author | Panagiotou, I | - |
dc.date.accessioned | 2013-09-30T07:07:48Z | - |
dc.date.available | 2013-09-30T07:07:48Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | Targeted metabolic engineering guided by computational analysis of single-nucleotide polymorphisms (SNPs). In Alper, HS (Ed.), Systems metabolic engineering : methods and protocols , p. 409-428. Dordrecht: Springer, 2013 | - |
dc.identifier.isbn | 9781627032988 | - |
dc.identifier.issn | 1064-3745 | - |
dc.identifier.uri | http://hdl.handle.net/10722/191184 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.publisher | Springer | - |
dc.relation.ispartof | Systems metabolic engineering : methods and protocols | - |
dc.rights | The original publication is available at www.springerlink.com | - |
dc.subject | Chromosome polymorphism. | - |
dc.subject | Human genetics -- Variation. | - |
dc.subject | Genetic markers. | - |
dc.subject | Microbial genetic engineering. | - |
dc.title | Targeted metabolic engineering guided by computational analysis of single-nucleotide polymorphisms (SNPs) | en_US |
dc.type | Book_Chapter | en_US |
dc.identifier.email | Panagiotou, G: gipa@hku.hk | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-1-62703-299-5_20 | - |
dc.identifier.pmid | 23417815 | - |
dc.identifier.scopus | eid_2-s2.0-84880840332 | - |
dc.identifier.hkuros | 221462 | - |
dc.identifier.spage | 409 | - |
dc.identifier.epage | 428 | - |
dc.identifier.eissn | 1940-6029 | - |
dc.publisher.place | Dordrecht | - |
dc.customcontrol.immutable | yiu 130930 | - |
dc.identifier.issnl | 1064-3745 | - |