Statistical medium formulation and process modeling by mixture design of experiment for peptide overexpression in recombinant Escherichia coli View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-10

AUTHORS

Kwang-Min Lee, Chang-Hoon Rhee, Choong-Kyung Kang, Jung-Hoe Kim

ABSTRACT

The medium formulation and robust process modeling for anti-HIV peptide (T-20) production by recombinant Escherichia coli overexpression were studied by employing a crossed experimental design. The crossed design, a mixture design combined with process factor (induction duration), was used to find the optimal medium formulation and process time. The optimal settings for three major components (7.75 mL of NPK sources, 5.5 mL of glucose, and 11.75 mL of MgSO4) characterized by %T-20 (14.45%), the proportion of peptide to the total protein, were observed in a total of 100 mL of medium inducted at an optical density of 0.67 with 0.7 mM isopropyl-beta-D-thiogalactopyranoside) for a 3-h induction duration at shake-flask scale. These conditions were further investigated to find robust process conditions (8.2 mL of NPK sources, 5.6 mL of glucose, and 11.3 mL of MgSO4, and a 3.5-h induction duration time) for T-20 production (13.9%) by applying propagation of error. More... »

PAGES

81-100

Identifiers

URI

http://scigraph.springernature.com/pub.10.1385/abab:135:1:81

DOI

http://dx.doi.org/10.1385/abab:135:1:81

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1019306041

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17057257


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anti-HIV Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biotechnology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chemistry, Pharmaceutical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Culture Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Electrophoresis, Polyacrylamide Gel", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Escherichia coli", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Peptides", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plasmids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Recombinant Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Regression Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Korea Advanced Institute of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.37172.30", 
          "name": [
            "Cellular Metabolic Engineering Lab., Korea Advanced Institute of Science and Technology, 737-1 Guseong-dong Yuseong-gu, 305-701, Daejeon, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Kwang-Min", 
        "id": "sg:person.0772562661.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772562661.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea Advanced Institute of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.37172.30", 
          "name": [
            "Cellular Metabolic Engineering Lab., Korea Advanced Institute of Science and Technology, 737-1 Guseong-dong Yuseong-gu, 305-701, Daejeon, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rhee", 
        "givenName": "Chang-Hoon", 
        "id": "sg:person.01040676061.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040676061.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "KoBioTech Co., Ltd., 713-12 Gojan-dong Nam-gu, 405-821, Inchen, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kang", 
        "givenName": "Choong-Kyung", 
        "id": "sg:person.01107011261.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107011261.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Korea Advanced Institute of Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.37172.30", 
          "name": [
            "Cellular Metabolic Engineering Lab., Korea Advanced Institute of Science and Technology, 737-1 Guseong-dong Yuseong-gu, 305-701, Daejeon, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jung-Hoe", 
        "id": "sg:person.01300137557.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300137557.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/3209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025315633", 
          "https://doi.org/10.1038/3209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/3209", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025315633", 
          "https://doi.org/10.1038/3209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/373117a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025418642", 
          "https://doi.org/10.1038/373117a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(00)80205-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026125546"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00253-002-1144-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030578085", 
          "https://doi.org/10.1007/s00253-002-1144-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1385/abab:133:2:113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041515544", 
          "https://doi.org/10.1385/abab:133:2:113"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/3293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053214876", 
          "https://doi.org/10.1038/3293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/3293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053214876", 
          "https://doi.org/10.1038/3293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.270.5239.1194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062551644"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083203447", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-10", 
    "datePublishedReg": "2006-10-01", 
    "description": "The medium formulation and robust process modeling for anti-HIV peptide (T-20) production by recombinant Escherichia coli overexpression were studied by employing a crossed experimental design. The crossed design, a mixture design combined with process factor (induction duration), was used to find the optimal medium formulation and process time. The optimal settings for three major components (7.75 mL of NPK sources, 5.5 mL of glucose, and 11.75 mL of MgSO4) characterized by %T-20 (14.45%), the proportion of peptide to the total protein, were observed in a total of 100 mL of medium inducted at an optical density of 0.67 with 0.7 mM isopropyl-beta-D-thiogalactopyranoside) for a 3-h induction duration at shake-flask scale. These conditions were further investigated to find robust process conditions (8.2 mL of NPK sources, 5.6 mL of glucose, and 11.3 mL of MgSO4, and a 3.5-h induction duration time) for T-20 production (13.9%) by applying propagation of error.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1385/abab:135:1:81", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1086169", 
        "issn": [
          "0273-2289", 
          "1559-0291"
        ], 
        "name": "Applied Biochemistry and Biotechnology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "135"
      }
    ], 
    "name": "Statistical medium formulation and process modeling by mixture design of experiment for peptide overexpression in recombinant Escherichia coli", 
    "pagination": "81-100", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5bfc83967f87597103c8a8d59515d675f3039f39000b61f4946934032d43d65b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17057257"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8208561"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1385/abab:135:1:81"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1019306041"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1385/abab:135:1:81", 
      "https://app.dimensions.ai/details/publication/pub.1019306041"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:04", 
    "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_8697_00000499.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1385/ABAB:135:1:81"
  }
]
 

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.10.1385/abab:135:1:81'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1385/abab:135:1:81'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1385/abab:135:1:81'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1385/abab:135:1:81'


 

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

180 TRIPLES      21 PREDICATES      52 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1385/abab:135:1:81 schema:about N053a2b11b218493099dd856eb9d9e84e
2 N1171e7d8d080471cbcf15017db8e120f
3 N1ae27f9366404a8ea89807694d515c49
4 N352365f2a898472d9074098e24478426
5 N40d4cbb4f5cf458e94b418a9973c695b
6 N5260d5c51d5f47ea95495ecaeee6c074
7 N6375bb1acae64f76a4826fb1f9eed04c
8 N69238b7b2ad341baafa898becd277880
9 N73962f4baa684d5b905a2fb7fd97390a
10 Na0745d3e64b940afb41d599a84769e14
11 Nafd6c050d57c4e1cb74aa2a5b4fd1d60
12 Nc00fb1a6f6b04d9c9bcb90c3d1e92d72
13 Nd29ebf60f43f428cbb4727095bcfab56
14 Nd52c3b2b18694842a60e689db8c7735a
15 Nf7bd2af3b3fa4f1f990b0795edeafc31
16 anzsrc-for:01
17 anzsrc-for:0104
18 schema:author N39dce0a4e076482ea528039969560cde
19 schema:citation sg:pub.10.1007/s00253-002-1144-z
20 sg:pub.10.1038/3209
21 sg:pub.10.1038/3293
22 sg:pub.10.1038/373117a0
23 sg:pub.10.1385/abab:133:2:113
24 https://app.dimensions.ai/details/publication/pub.1083203447
25 https://doi.org/10.1016/s0092-8674(00)80205-6
26 https://doi.org/10.1126/science.270.5239.1194
27 schema:datePublished 2006-10
28 schema:datePublishedReg 2006-10-01
29 schema:description The medium formulation and robust process modeling for anti-HIV peptide (T-20) production by recombinant Escherichia coli overexpression were studied by employing a crossed experimental design. The crossed design, a mixture design combined with process factor (induction duration), was used to find the optimal medium formulation and process time. The optimal settings for three major components (7.75 mL of NPK sources, 5.5 mL of glucose, and 11.75 mL of MgSO4) characterized by %T-20 (14.45%), the proportion of peptide to the total protein, were observed in a total of 100 mL of medium inducted at an optical density of 0.67 with 0.7 mM isopropyl-beta-D-thiogalactopyranoside) for a 3-h induction duration at shake-flask scale. These conditions were further investigated to find robust process conditions (8.2 mL of NPK sources, 5.6 mL of glucose, and 11.3 mL of MgSO4, and a 3.5-h induction duration time) for T-20 production (13.9%) by applying propagation of error.
30 schema:genre research_article
31 schema:inLanguage en
32 schema:isAccessibleForFree false
33 schema:isPartOf N20b4bd604aea4dadb2ebfd61288bea10
34 Ne57f743e09964a0497598778c9309aa9
35 sg:journal.1086169
36 schema:name Statistical medium formulation and process modeling by mixture design of experiment for peptide overexpression in recombinant Escherichia coli
37 schema:pagination 81-100
38 schema:productId N4a7d2dab5803456d969fb222e60aefb2
39 N645007a20c5f4a00a022ee8c23743f5e
40 N6749e41aed69412e905686c0539c99dd
41 N6952ccb5e4b94cd1804d9b535ce3322f
42 Nf9f74a0fc32b4df9bace721fa07a9e04
43 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019306041
44 https://doi.org/10.1385/abab:135:1:81
45 schema:sdDatePublished 2019-04-11T01:04
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N4df74554c1ca4b269e6ca9901504d6ea
48 schema:url http://link.springer.com/10.1385/ABAB:135:1:81
49 sgo:license sg:explorer/license/
50 sgo:sdDataset articles
51 rdf:type schema:ScholarlyArticle
52 N053a2b11b218493099dd856eb9d9e84e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
53 schema:name Gene Expression Regulation, Bacterial
54 rdf:type schema:DefinedTerm
55 N1171e7d8d080471cbcf15017db8e120f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
56 schema:name Models, Statistical
57 rdf:type schema:DefinedTerm
58 N1ae27f9366404a8ea89807694d515c49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
59 schema:name Plasmids
60 rdf:type schema:DefinedTerm
61 N20b4bd604aea4dadb2ebfd61288bea10 schema:volumeNumber 135
62 rdf:type schema:PublicationVolume
63 N352365f2a898472d9074098e24478426 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
64 schema:name Drug Design
65 rdf:type schema:DefinedTerm
66 N39dce0a4e076482ea528039969560cde rdf:first sg:person.0772562661.84
67 rdf:rest Nd227e7a8deb94576a29c7992db383105
68 N40d4cbb4f5cf458e94b418a9973c695b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Recombinant Proteins
70 rdf:type schema:DefinedTerm
71 N4a7d2dab5803456d969fb222e60aefb2 schema:name doi
72 schema:value 10.1385/abab:135:1:81
73 rdf:type schema:PropertyValue
74 N4df74554c1ca4b269e6ca9901504d6ea schema:name Springer Nature - SN SciGraph project
75 rdf:type schema:Organization
76 N5260d5c51d5f47ea95495ecaeee6c074 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Protein Engineering
78 rdf:type schema:DefinedTerm
79 N6375bb1acae64f76a4826fb1f9eed04c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Time Factors
81 rdf:type schema:DefinedTerm
82 N645007a20c5f4a00a022ee8c23743f5e schema:name dimensions_id
83 schema:value pub.1019306041
84 rdf:type schema:PropertyValue
85 N6749e41aed69412e905686c0539c99dd schema:name nlm_unique_id
86 schema:value 8208561
87 rdf:type schema:PropertyValue
88 N69238b7b2ad341baafa898becd277880 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Biotechnology
90 rdf:type schema:DefinedTerm
91 N6952ccb5e4b94cd1804d9b535ce3322f schema:name pubmed_id
92 schema:value 17057257
93 rdf:type schema:PropertyValue
94 N7060e092ad7e4f1285c73fb512103649 rdf:first sg:person.01300137557.41
95 rdf:rest rdf:nil
96 N73962f4baa684d5b905a2fb7fd97390a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Regression Analysis
98 rdf:type schema:DefinedTerm
99 N877e2fb586204fc6b34059f121a7b08d schema:name KoBioTech Co., Ltd., 713-12 Gojan-dong Nam-gu, 405-821, Inchen, South Korea
100 rdf:type schema:Organization
101 Na0745d3e64b940afb41d599a84769e14 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Anti-HIV Agents
103 rdf:type schema:DefinedTerm
104 Na252d8f2b80d46fa8577133ca03e37ca rdf:first sg:person.01107011261.49
105 rdf:rest N7060e092ad7e4f1285c73fb512103649
106 Nafd6c050d57c4e1cb74aa2a5b4fd1d60 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Electrophoresis, Polyacrylamide Gel
108 rdf:type schema:DefinedTerm
109 Nc00fb1a6f6b04d9c9bcb90c3d1e92d72 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Chemistry, Pharmaceutical
111 rdf:type schema:DefinedTerm
112 Nd227e7a8deb94576a29c7992db383105 rdf:first sg:person.01040676061.43
113 rdf:rest Na252d8f2b80d46fa8577133ca03e37ca
114 Nd29ebf60f43f428cbb4727095bcfab56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Culture Media
116 rdf:type schema:DefinedTerm
117 Nd52c3b2b18694842a60e689db8c7735a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Peptides
119 rdf:type schema:DefinedTerm
120 Ne57f743e09964a0497598778c9309aa9 schema:issueNumber 1
121 rdf:type schema:PublicationIssue
122 Nf7bd2af3b3fa4f1f990b0795edeafc31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Escherichia coli
124 rdf:type schema:DefinedTerm
125 Nf9f74a0fc32b4df9bace721fa07a9e04 schema:name readcube_id
126 schema:value 5bfc83967f87597103c8a8d59515d675f3039f39000b61f4946934032d43d65b
127 rdf:type schema:PropertyValue
128 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
129 schema:name Mathematical Sciences
130 rdf:type schema:DefinedTerm
131 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
132 schema:name Statistics
133 rdf:type schema:DefinedTerm
134 sg:journal.1086169 schema:issn 0273-2289
135 1559-0291
136 schema:name Applied Biochemistry and Biotechnology
137 rdf:type schema:Periodical
138 sg:person.01040676061.43 schema:affiliation https://www.grid.ac/institutes/grid.37172.30
139 schema:familyName Rhee
140 schema:givenName Chang-Hoon
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01040676061.43
142 rdf:type schema:Person
143 sg:person.01107011261.49 schema:affiliation N877e2fb586204fc6b34059f121a7b08d
144 schema:familyName Kang
145 schema:givenName Choong-Kyung
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01107011261.49
147 rdf:type schema:Person
148 sg:person.01300137557.41 schema:affiliation https://www.grid.ac/institutes/grid.37172.30
149 schema:familyName Kim
150 schema:givenName Jung-Hoe
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300137557.41
152 rdf:type schema:Person
153 sg:person.0772562661.84 schema:affiliation https://www.grid.ac/institutes/grid.37172.30
154 schema:familyName Lee
155 schema:givenName Kwang-Min
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772562661.84
157 rdf:type schema:Person
158 sg:pub.10.1007/s00253-002-1144-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1030578085
159 https://doi.org/10.1007/s00253-002-1144-z
160 rdf:type schema:CreativeWork
161 sg:pub.10.1038/3209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025315633
162 https://doi.org/10.1038/3209
163 rdf:type schema:CreativeWork
164 sg:pub.10.1038/3293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053214876
165 https://doi.org/10.1038/3293
166 rdf:type schema:CreativeWork
167 sg:pub.10.1038/373117a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025418642
168 https://doi.org/10.1038/373117a0
169 rdf:type schema:CreativeWork
170 sg:pub.10.1385/abab:133:2:113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041515544
171 https://doi.org/10.1385/abab:133:2:113
172 rdf:type schema:CreativeWork
173 https://app.dimensions.ai/details/publication/pub.1083203447 schema:CreativeWork
174 https://doi.org/10.1016/s0092-8674(00)80205-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026125546
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1126/science.270.5239.1194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062551644
177 rdf:type schema:CreativeWork
178 https://www.grid.ac/institutes/grid.37172.30 schema:alternateName Korea Advanced Institute of Science and Technology
179 schema:name Cellular Metabolic Engineering Lab., Korea Advanced Institute of Science and Technology, 737-1 Guseong-dong Yuseong-gu, 305-701, Daejeon, South Korea
180 rdf:type schema:Organization
 




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


...