Carbon sources-dependent carotenoid production in metabolically engineered Escherichia coli View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2010-12

AUTHORS

Jongrae Kim, Min Kyung Kong, Sang Yup Lee, Pyung Cheon Lee

ABSTRACT

The effects of three phosphoenolpyruvate (PEP)-dependent PTS carbon sources (glucose, mannose and maltose) and three non-PTS carbon sources (glycerol, galactose, and lactose) on the formation of four carotenoids with diverse structures and on the cell growth of the recombinant Escherichia coli were investigated. The biosynthetic pathways of four carotenoids, C30 diapolycopene, C30 diapotorulene, C40 lycopene, and C40 beta-carotene, were engineered in E. coli. The resulting E. coli cells were grown in a mineral medium supplemented with each of the six carbon sources. Among the six carbon sources, non-PTS glycerol showed the highest performance in production of all four carotenoid structures, whereas PTS glucose showed the lowest performance. Based on the conversion yield, carotenoid-producing capability, and the cell density, we found that there was no close correlation between PTS and non-PTS transport mechanism and carotenoid formations in E. coli. More... »

PAGES

2231-2239

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11274-010-0408-5

DOI

http://dx.doi.org/10.1007/s11274-010-0408-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032176251


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biochemistry and Cell Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Ajou University", 
          "id": "https://www.grid.ac/institutes/grid.251916.8", 
          "name": [
            "Department of Molecular Science and Technology, Ajou University, 443-749, Woncheon-dong, Yeongtong-gu, Suwon, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jongrae", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ajou University", 
          "id": "https://www.grid.ac/institutes/grid.251916.8", 
          "name": [
            "Department of Molecular Science and Technology, Ajou University, 443-749, Woncheon-dong, Yeongtong-gu, Suwon, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kong", 
        "givenName": "Min Kyung", 
        "id": "sg:person.01313326163.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313326163.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea Advanced Institute of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.37172.30", 
          "name": [
            "Department of Chemical & Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 373-1 Gwanhangno, 305-701, Yusong-gu, Taejon, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Sang Yup", 
        "id": "sg:person.0664754031.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664754031.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ajou University", 
          "id": "https://www.grid.ac/institutes/grid.251916.8", 
          "name": [
            "Department of Molecular Science and Technology, Ajou University, 443-749, Woncheon-dong, Yeongtong-gu, Suwon, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Pyung Cheon", 
        "id": "sg:person.0751574106.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751574106.62"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrmicro1932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001013360", 
          "https://doi.org/10.1038/nrmicro1932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/biof.5520100203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002954492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-004-1619-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006075562", 
          "https://doi.org/10.1007/s00253-004-1619-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2006.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006299159"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0290(20000220)72:4<408::aid-bit1003>3.0.co;2-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010803217"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbamem.2008.06.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010915848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1074-5521(03)00103-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013098349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1074-5521(03)00103-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013098349"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-006-0708-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015032246", 
          "https://doi.org/10.1007/s00253-006-0708-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-006-0708-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015032246", 
          "https://doi.org/10.1007/s00253-006-0708-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-002-1101-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016759480", 
          "https://doi.org/10.1007/s00253-002-1101-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-007-1206-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018720025", 
          "https://doi.org/10.1007/s00253-007-1206-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-007-1206-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018720025", 
          "https://doi.org/10.1007/s00253-007-1206-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbadis.2004.11.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021049950"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10295-006-0197-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023227067", 
          "https://doi.org/10.1007/s10295-006-0197-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10295-006-0197-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023227067", 
          "https://doi.org/10.1007/s10295-006-0197-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/75398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024698620", 
          "https://doi.org/10.1038/75398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/75398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024698620", 
          "https://doi.org/10.1038/75398"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mmbr.00024-06", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028242719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bfb0102327", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031448681", 
          "https://doi.org/10.1007/bfb0102327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1159/000151219", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031687913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002530051632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034204013", 
          "https://doi.org/10.1007/s002530051632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0596-620", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034507677", 
          "https://doi.org/10.1038/nbt0596-620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.01495-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038800301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procbio.2009.05.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039979509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/aem.01246-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041856115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chembiol.2005.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042113935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10295-007-0285-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042231553", 
          "https://doi.org/10.1007/s10295-007-0285-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11101-005-5465-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042613650", 
          "https://doi.org/10.1007/s11101-005-5465-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bit.10702", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043398991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bpc.2008.12.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044832642"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1351/pac199769102169", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045819170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.procbio.2009.04.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046933902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bp000137t", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048164162"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1475-2859-8-19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052113391", 
          "https://doi.org/10.1186/1475-2859-8-19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2009.01.019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053602059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074816844", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "The effects of three phosphoenolpyruvate (PEP)-dependent PTS carbon sources (glucose, mannose and maltose) and three non-PTS carbon sources (glycerol, galactose, and lactose) on the formation of four carotenoids with diverse structures and on the cell growth of the recombinant Escherichia coli were investigated. The biosynthetic pathways of four carotenoids, C30 diapolycopene, C30 diapotorulene, C40 lycopene, and C40 beta-carotene, were engineered in E. coli. The resulting E. coli cells were grown in a mineral medium supplemented with each of the six carbon sources. Among the six carbon sources, non-PTS glycerol showed the highest performance in production of all four carotenoid structures, whereas PTS glucose showed the lowest performance. Based on the conversion yield, carotenoid-producing capability, and the cell density, we found that there was no close correlation between PTS and non-PTS transport mechanism and carotenoid formations in E. coli.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11274-010-0408-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7456786", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7451310", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1096771", 
        "issn": [
          "0959-3993", 
          "1573-0972"
        ], 
        "name": "World Journal of Microbiology and Biotechnology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "name": "Carbon sources-dependent carotenoid production in metabolically engineered Escherichia coli", 
    "pagination": "2231-2239", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9947b72884e6ffc5303cff1955a60240c1467f7bfe0911558b844093a61238d6"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11274-010-0408-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032176251"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11274-010-0408-5", 
      "https://app.dimensions.ai/details/publication/pub.1032176251"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T02:09", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8700_00000522.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11274-010-0408-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11274-010-0408-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11274-010-0408-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11274-010-0408-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11274-010-0408-5'


 

This table displays all metadata directly associated to this object as RDF triples.

196 TRIPLES      21 PREDICATES      59 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11274-010-0408-5 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N4f3a8bce38b7428e84d673d28000460d
4 schema:citation sg:pub.10.1007/bfb0102327
5 sg:pub.10.1007/s00253-002-1101-x
6 sg:pub.10.1007/s00253-004-1619-1
7 sg:pub.10.1007/s00253-006-0708-8
8 sg:pub.10.1007/s00253-007-1206-3
9 sg:pub.10.1007/s002530051632
10 sg:pub.10.1007/s10295-006-0197-x
11 sg:pub.10.1007/s10295-007-0285-6
12 sg:pub.10.1007/s11101-005-5465-2
13 sg:pub.10.1038/75398
14 sg:pub.10.1038/nbt0596-620
15 sg:pub.10.1038/nrmicro1932
16 sg:pub.10.1186/1475-2859-8-19
17 https://app.dimensions.ai/details/publication/pub.1074816844
18 https://doi.org/10.1002/1097-0290(20000220)72:4<408::aid-bit1003>3.0.co;2-h
19 https://doi.org/10.1002/biof.5520100203
20 https://doi.org/10.1002/bit.10702
21 https://doi.org/10.1016/j.bbadis.2004.11.015
22 https://doi.org/10.1016/j.bbamem.2008.06.005
23 https://doi.org/10.1016/j.bpc.2008.12.002
24 https://doi.org/10.1016/j.chembiol.2005.02.010
25 https://doi.org/10.1016/j.gene.2006.08.006
26 https://doi.org/10.1016/j.jbiotec.2009.01.019
27 https://doi.org/10.1016/j.procbio.2009.04.018
28 https://doi.org/10.1016/j.procbio.2009.05.012
29 https://doi.org/10.1016/s1074-5521(03)00103-0
30 https://doi.org/10.1021/bp000137t
31 https://doi.org/10.1128/aem.01246-09
32 https://doi.org/10.1128/aem.01495-08
33 https://doi.org/10.1128/mmbr.00024-06
34 https://doi.org/10.1159/000151219
35 https://doi.org/10.1351/pac199769102169
36 schema:datePublished 2010-12
37 schema:datePublishedReg 2010-12-01
38 schema:description The effects of three phosphoenolpyruvate (PEP)-dependent PTS carbon sources (glucose, mannose and maltose) and three non-PTS carbon sources (glycerol, galactose, and lactose) on the formation of four carotenoids with diverse structures and on the cell growth of the recombinant Escherichia coli were investigated. The biosynthetic pathways of four carotenoids, C30 diapolycopene, C30 diapotorulene, C40 lycopene, and C40 beta-carotene, were engineered in E. coli. The resulting E. coli cells were grown in a mineral medium supplemented with each of the six carbon sources. Among the six carbon sources, non-PTS glycerol showed the highest performance in production of all four carotenoid structures, whereas PTS glucose showed the lowest performance. Based on the conversion yield, carotenoid-producing capability, and the cell density, we found that there was no close correlation between PTS and non-PTS transport mechanism and carotenoid formations in E. coli.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf Nf58dfb8277ba45798aaf71c4b2bb8d38
43 Nf845644e59cd42c2b1f6389705a72a43
44 sg:journal.1096771
45 schema:name Carbon sources-dependent carotenoid production in metabolically engineered Escherichia coli
46 schema:pagination 2231-2239
47 schema:productId N58d7e078b683483b9b4d4db946be5d70
48 Ndaedb24d3a67438bbf2a22bec5c6e707
49 Nec0140ae3ecc489e83a457a6b3880b45
50 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032176251
51 https://doi.org/10.1007/s11274-010-0408-5
52 schema:sdDatePublished 2019-04-11T02:09
53 schema:sdLicense https://scigraph.springernature.com/explorer/license/
54 schema:sdPublisher N18aad25be7d04b8ba879ba667450ef2d
55 schema:url http://link.springer.com/10.1007%2Fs11274-010-0408-5
56 sgo:license sg:explorer/license/
57 sgo:sdDataset articles
58 rdf:type schema:ScholarlyArticle
59 N18aad25be7d04b8ba879ba667450ef2d schema:name Springer Nature - SN SciGraph project
60 rdf:type schema:Organization
61 N4f3a8bce38b7428e84d673d28000460d rdf:first Nf44a12ea2b7c4013a09a26e7eb323877
62 rdf:rest Nff8bdc9dac1545ac810d2fadce5ee728
63 N58d7e078b683483b9b4d4db946be5d70 schema:name readcube_id
64 schema:value 9947b72884e6ffc5303cff1955a60240c1467f7bfe0911558b844093a61238d6
65 rdf:type schema:PropertyValue
66 Nc7265c6f17ca469cbca46728c5f7f325 rdf:first sg:person.0664754031.03
67 rdf:rest Ncec36f359c3c4ed993be3117db326d06
68 Ncec36f359c3c4ed993be3117db326d06 rdf:first sg:person.0751574106.62
69 rdf:rest rdf:nil
70 Ndaedb24d3a67438bbf2a22bec5c6e707 schema:name dimensions_id
71 schema:value pub.1032176251
72 rdf:type schema:PropertyValue
73 Nec0140ae3ecc489e83a457a6b3880b45 schema:name doi
74 schema:value 10.1007/s11274-010-0408-5
75 rdf:type schema:PropertyValue
76 Nf44a12ea2b7c4013a09a26e7eb323877 schema:affiliation https://www.grid.ac/institutes/grid.251916.8
77 schema:familyName Kim
78 schema:givenName Jongrae
79 rdf:type schema:Person
80 Nf58dfb8277ba45798aaf71c4b2bb8d38 schema:volumeNumber 26
81 rdf:type schema:PublicationVolume
82 Nf845644e59cd42c2b1f6389705a72a43 schema:issueNumber 12
83 rdf:type schema:PublicationIssue
84 Nff8bdc9dac1545ac810d2fadce5ee728 rdf:first sg:person.01313326163.19
85 rdf:rest Nc7265c6f17ca469cbca46728c5f7f325
86 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
87 schema:name Biological Sciences
88 rdf:type schema:DefinedTerm
89 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
90 schema:name Biochemistry and Cell Biology
91 rdf:type schema:DefinedTerm
92 sg:grant.7451310 http://pending.schema.org/fundedItem sg:pub.10.1007/s11274-010-0408-5
93 rdf:type schema:MonetaryGrant
94 sg:grant.7456786 http://pending.schema.org/fundedItem sg:pub.10.1007/s11274-010-0408-5
95 rdf:type schema:MonetaryGrant
96 sg:journal.1096771 schema:issn 0959-3993
97 1573-0972
98 schema:name World Journal of Microbiology and Biotechnology
99 rdf:type schema:Periodical
100 sg:person.01313326163.19 schema:affiliation https://www.grid.ac/institutes/grid.251916.8
101 schema:familyName Kong
102 schema:givenName Min Kyung
103 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01313326163.19
104 rdf:type schema:Person
105 sg:person.0664754031.03 schema:affiliation https://www.grid.ac/institutes/grid.37172.30
106 schema:familyName Lee
107 schema:givenName Sang Yup
108 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0664754031.03
109 rdf:type schema:Person
110 sg:person.0751574106.62 schema:affiliation https://www.grid.ac/institutes/grid.251916.8
111 schema:familyName Lee
112 schema:givenName Pyung Cheon
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0751574106.62
114 rdf:type schema:Person
115 sg:pub.10.1007/bfb0102327 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031448681
116 https://doi.org/10.1007/bfb0102327
117 rdf:type schema:CreativeWork
118 sg:pub.10.1007/s00253-002-1101-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016759480
119 https://doi.org/10.1007/s00253-002-1101-x
120 rdf:type schema:CreativeWork
121 sg:pub.10.1007/s00253-004-1619-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006075562
122 https://doi.org/10.1007/s00253-004-1619-1
123 rdf:type schema:CreativeWork
124 sg:pub.10.1007/s00253-006-0708-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015032246
125 https://doi.org/10.1007/s00253-006-0708-8
126 rdf:type schema:CreativeWork
127 sg:pub.10.1007/s00253-007-1206-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018720025
128 https://doi.org/10.1007/s00253-007-1206-3
129 rdf:type schema:CreativeWork
130 sg:pub.10.1007/s002530051632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034204013
131 https://doi.org/10.1007/s002530051632
132 rdf:type schema:CreativeWork
133 sg:pub.10.1007/s10295-006-0197-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023227067
134 https://doi.org/10.1007/s10295-006-0197-x
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s10295-007-0285-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042231553
137 https://doi.org/10.1007/s10295-007-0285-6
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s11101-005-5465-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042613650
140 https://doi.org/10.1007/s11101-005-5465-2
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/75398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024698620
143 https://doi.org/10.1038/75398
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/nbt0596-620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034507677
146 https://doi.org/10.1038/nbt0596-620
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/nrmicro1932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001013360
149 https://doi.org/10.1038/nrmicro1932
150 rdf:type schema:CreativeWork
151 sg:pub.10.1186/1475-2859-8-19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052113391
152 https://doi.org/10.1186/1475-2859-8-19
153 rdf:type schema:CreativeWork
154 https://app.dimensions.ai/details/publication/pub.1074816844 schema:CreativeWork
155 https://doi.org/10.1002/1097-0290(20000220)72:4<408::aid-bit1003>3.0.co;2-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1010803217
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/biof.5520100203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002954492
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/bit.10702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043398991
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.bbadis.2004.11.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021049950
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.bbamem.2008.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010915848
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.bpc.2008.12.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044832642
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.chembiol.2005.02.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042113935
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.gene.2006.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006299159
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.jbiotec.2009.01.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053602059
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.procbio.2009.04.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046933902
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.procbio.2009.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039979509
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/s1074-5521(03)00103-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013098349
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1021/bp000137t schema:sameAs https://app.dimensions.ai/details/publication/pub.1048164162
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1128/aem.01246-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041856115
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1128/aem.01495-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038800301
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1128/mmbr.00024-06 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028242719
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1159/000151219 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031687913
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1351/pac199769102169 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045819170
190 rdf:type schema:CreativeWork
191 https://www.grid.ac/institutes/grid.251916.8 schema:alternateName Ajou University
192 schema:name Department of Molecular Science and Technology, Ajou University, 443-749, Woncheon-dong, Yeongtong-gu, Suwon, South Korea
193 rdf:type schema:Organization
194 https://www.grid.ac/institutes/grid.37172.30 schema:alternateName Korea Advanced Institute of Science and Technology
195 schema:name Department of Chemical & Biomolecular Engineering, Korea Advanced Institute of Science and Technology, 373-1 Gwanhangno, 305-701, Yusong-gu, Taejon, South Korea
196 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...