Engineering stability in gene networks by autoregulation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-06

AUTHORS

Attila Becskei, Luis Serrano

ABSTRACT

The genetic and biochemical networks which underlie such things as homeostasis in metabolism and the developmental programs of living cells, must withstand considerable variations and random perturbations of biochemical parameters. These occur as transient changes in, for example, transcription, translation, and RNA and protein degradation. The intensity and duration of these perturbations differ between cells in a population. The unique state of cells, and thus the diversity in a population, is owing to the different environmental stimuli the individual cells experience and the inherent stochastic nature of biochemical processes (for example, refs 5 and 6). It has been proposed, but not demonstrated, that autoregulatory, negative feedback loops in gene circuits provide stability, thereby limiting the range over which the concentrations of network components fluctuate. Here we have designed and constructed simple gene circuits consisting of a regulator and transcriptional repressor modules in Escherichia coli and we show the gain of stability produced by negative feedback. More... »

PAGES

590

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/35014651

DOI

http://dx.doi.org/10.1038/35014651

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033127471

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/10850721


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/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "DNA Transposable Elements", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Escherichia coli", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feedback", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Bacterial", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Green Fluorescent Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Homeostasis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Luminescent Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Genetic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Repressor Proteins", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "European Molecular Biology Laboratory", 
          "id": "https://www.grid.ac/institutes/grid.4709.a", 
          "name": [
            "EMBL, Structures & Biocomputing, Meyerhofstrasse 1, Heidelberg D-69012, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Becskei", 
        "givenName": "Attila", 
        "id": "sg:person.01344507047.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344507047.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "European Molecular Biology Laboratory", 
          "id": "https://www.grid.ac/institutes/grid.4709.a", 
          "name": [
            "EMBL, Structures & Biocomputing, Meyerhofstrasse 1, Heidelberg D-69012, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Serrano", 
        "givenName": "Luis", 
        "id": "sg:person.01105453551.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105453551.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/35002131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002786107", 
          "https://doi.org/10.1038/35002131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35002131", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002786107", 
          "https://doi.org/10.1038/35002131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/43199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003059937", 
          "https://doi.org/10.1038/43199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/43199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003059937", 
          "https://doi.org/10.1038/43199"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jtbi.1998.0790", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003505250"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/emboj/18.15.4299", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003744278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(81)90327-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005512094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.43.7.553", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008211467"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(00)80078-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009307358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1521-1878(199805)20:5<433::aid-bies10>3.0.co;2-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012079917"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35002125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016534270", 
          "https://doi.org/10.1038/35002125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/35002125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016534270", 
          "https://doi.org/10.1038/35002125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/7720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018925884", 
          "https://doi.org/10.1038/7720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/7720", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018925884", 
          "https://doi.org/10.1038/7720"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.85.23.8973", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019074698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(92)91065-w", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023244963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.96.3.797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027804450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/24550", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032477985", 
          "https://doi.org/10.1038/24550"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/252546a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036485599", 
          "https://doi.org/10.1038/252546a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/16483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037285118", 
          "https://doi.org/10.1038/16483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/16483", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037285118", 
          "https://doi.org/10.1038/16483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.4.5.752", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039796977"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.94.15.8168", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041744524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/25.6.1203", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043602121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi952683e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055211264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi952683e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055211264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi961527k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055212424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi961527k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055212424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1460-2075.1990.tb07472.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078411358"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2000-06", 
    "datePublishedReg": "2000-06-01", 
    "description": "The genetic and biochemical networks which underlie such things as homeostasis in metabolism and the developmental programs of living cells, must withstand considerable variations and random perturbations of biochemical parameters. These occur as transient changes in, for example, transcription, translation, and RNA and protein degradation. The intensity and duration of these perturbations differ between cells in a population. The unique state of cells, and thus the diversity in a population, is owing to the different environmental stimuli the individual cells experience and the inherent stochastic nature of biochemical processes (for example, refs 5 and 6). It has been proposed, but not demonstrated, that autoregulatory, negative feedback loops in gene circuits provide stability, thereby limiting the range over which the concentrations of network components fluctuate. Here we have designed and constructed simple gene circuits consisting of a regulator and transcriptional repressor modules in Escherichia coli and we show the gain of stability produced by negative feedback.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/35014651", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018957", 
        "issn": [
          "0090-0028", 
          "1476-4687"
        ], 
        "name": "Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6786", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "405"
      }
    ], 
    "name": "Engineering stability in gene networks by autoregulation", 
    "pagination": "590", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9dd075eeb0fac47e40c7bf32842861b4cf388898d699122ea9c2e404be79e119"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "10850721"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0410462"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/35014651"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033127471"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/35014651", 
      "https://app.dimensions.ai/details/publication/pub.1033127471"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:13", 
    "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/v90/0000000361_0000000361/records_53998_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/35014651"
  }
]
 

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.10.1038/35014651'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/35014651'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/35014651'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/35014651'


 

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

189 TRIPLES      21 PREDICATES      61 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/35014651 schema:about N10049e6780944b1c99f9563b9cf015ec
2 N10863140aff947818d597a9b0902c1d3
3 N51289f6731b147bf8e9fde4a2835a2b4
4 N52581f877c6a477d87ceaf447521381f
5 N6e4a3039d7d7497982c4090785ed55c8
6 N8885f2e2e13b484dbbbe0d9e5ecd933f
7 Nbc8c066fa6dc4b09a119765bb33e14d3
8 Nca59bd29b8434bcf9cde52b24436bff6
9 Ncc04281cea274b85b9eba56f3f01fa8a
10 Necb9c0a713fb49149fa849a9b23bbcbd
11 anzsrc-for:06
12 anzsrc-for:0604
13 schema:author N5ea507bd1b034ea28164345487c7a469
14 schema:citation sg:pub.10.1038/16483
15 sg:pub.10.1038/24550
16 sg:pub.10.1038/252546a0
17 sg:pub.10.1038/35002125
18 sg:pub.10.1038/35002131
19 sg:pub.10.1038/43199
20 sg:pub.10.1038/7720
21 https://doi.org/10.1002/(sici)1521-1878(199805)20:5<433::aid-bies10>3.0.co;2-2
22 https://doi.org/10.1002/j.1460-2075.1990.tb07472.x
23 https://doi.org/10.1006/jtbi.1998.0790
24 https://doi.org/10.1016/0022-2836(92)91065-w
25 https://doi.org/10.1016/0092-8674(81)90327-5
26 https://doi.org/10.1016/s0092-8674(00)80078-1
27 https://doi.org/10.1021/bi952683e
28 https://doi.org/10.1021/bi961527k
29 https://doi.org/10.1073/pnas.43.7.553
30 https://doi.org/10.1073/pnas.85.23.8973
31 https://doi.org/10.1073/pnas.94.15.8168
32 https://doi.org/10.1073/pnas.96.3.797
33 https://doi.org/10.1093/emboj/18.15.4299
34 https://doi.org/10.1093/nar/25.6.1203
35 https://doi.org/10.1101/gad.4.5.752
36 schema:datePublished 2000-06
37 schema:datePublishedReg 2000-06-01
38 schema:description The genetic and biochemical networks which underlie such things as homeostasis in metabolism and the developmental programs of living cells, must withstand considerable variations and random perturbations of biochemical parameters. These occur as transient changes in, for example, transcription, translation, and RNA and protein degradation. The intensity and duration of these perturbations differ between cells in a population. The unique state of cells, and thus the diversity in a population, is owing to the different environmental stimuli the individual cells experience and the inherent stochastic nature of biochemical processes (for example, refs 5 and 6). It has been proposed, but not demonstrated, that autoregulatory, negative feedback loops in gene circuits provide stability, thereby limiting the range over which the concentrations of network components fluctuate. Here we have designed and constructed simple gene circuits consisting of a regulator and transcriptional repressor modules in Escherichia coli and we show the gain of stability produced by negative feedback.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N0aca4c352e604eba9d60d63da8a709da
43 N5436610dd038438a8bb134136bd16516
44 sg:journal.1018957
45 schema:name Engineering stability in gene networks by autoregulation
46 schema:pagination 590
47 schema:productId N43dea49328c04690957f59d72754b6b9
48 N85b0e8ae963d445cbf385a53669ced52
49 Naa7a7e239cd24970b15c09f495a8c848
50 Nf79054d229f148feaf73386ab5897aa6
51 Nfb74ebba99df49949c51d5f1013cd729
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033127471
53 https://doi.org/10.1038/35014651
54 schema:sdDatePublished 2019-04-11T12:13
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N0d45f34905d84d5a9b5d6d4fb316b631
57 schema:url https://www.nature.com/articles/35014651
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N0aca4c352e604eba9d60d63da8a709da schema:volumeNumber 405
62 rdf:type schema:PublicationVolume
63 N0d45f34905d84d5a9b5d6d4fb316b631 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N10049e6780944b1c99f9563b9cf015ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Genetic Engineering
67 rdf:type schema:DefinedTerm
68 N10863140aff947818d597a9b0902c1d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Homeostasis
70 rdf:type schema:DefinedTerm
71 N43dea49328c04690957f59d72754b6b9 schema:name pubmed_id
72 schema:value 10850721
73 rdf:type schema:PropertyValue
74 N51289f6731b147bf8e9fde4a2835a2b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Feedback
76 rdf:type schema:DefinedTerm
77 N52581f877c6a477d87ceaf447521381f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Luminescent Proteins
79 rdf:type schema:DefinedTerm
80 N5436610dd038438a8bb134136bd16516 schema:issueNumber 6786
81 rdf:type schema:PublicationIssue
82 N5ea507bd1b034ea28164345487c7a469 rdf:first sg:person.01344507047.75
83 rdf:rest Nc7a0df9e42a14233892c219f82f94644
84 N6e4a3039d7d7497982c4090785ed55c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Green Fluorescent Proteins
86 rdf:type schema:DefinedTerm
87 N85b0e8ae963d445cbf385a53669ced52 schema:name nlm_unique_id
88 schema:value 0410462
89 rdf:type schema:PropertyValue
90 N8885f2e2e13b484dbbbe0d9e5ecd933f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name DNA Transposable Elements
92 rdf:type schema:DefinedTerm
93 Naa7a7e239cd24970b15c09f495a8c848 schema:name readcube_id
94 schema:value 9dd075eeb0fac47e40c7bf32842861b4cf388898d699122ea9c2e404be79e119
95 rdf:type schema:PropertyValue
96 Nbc8c066fa6dc4b09a119765bb33e14d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Gene Expression Regulation, Bacterial
98 rdf:type schema:DefinedTerm
99 Nc7a0df9e42a14233892c219f82f94644 rdf:first sg:person.01105453551.87
100 rdf:rest rdf:nil
101 Nca59bd29b8434bcf9cde52b24436bff6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Models, Genetic
103 rdf:type schema:DefinedTerm
104 Ncc04281cea274b85b9eba56f3f01fa8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Escherichia coli
106 rdf:type schema:DefinedTerm
107 Necb9c0a713fb49149fa849a9b23bbcbd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Repressor Proteins
109 rdf:type schema:DefinedTerm
110 Nf79054d229f148feaf73386ab5897aa6 schema:name doi
111 schema:value 10.1038/35014651
112 rdf:type schema:PropertyValue
113 Nfb74ebba99df49949c51d5f1013cd729 schema:name dimensions_id
114 schema:value pub.1033127471
115 rdf:type schema:PropertyValue
116 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
117 schema:name Biological Sciences
118 rdf:type schema:DefinedTerm
119 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
120 schema:name Genetics
121 rdf:type schema:DefinedTerm
122 sg:journal.1018957 schema:issn 0090-0028
123 1476-4687
124 schema:name Nature
125 rdf:type schema:Periodical
126 sg:person.01105453551.87 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
127 schema:familyName Serrano
128 schema:givenName Luis
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105453551.87
130 rdf:type schema:Person
131 sg:person.01344507047.75 schema:affiliation https://www.grid.ac/institutes/grid.4709.a
132 schema:familyName Becskei
133 schema:givenName Attila
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01344507047.75
135 rdf:type schema:Person
136 sg:pub.10.1038/16483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037285118
137 https://doi.org/10.1038/16483
138 rdf:type schema:CreativeWork
139 sg:pub.10.1038/24550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032477985
140 https://doi.org/10.1038/24550
141 rdf:type schema:CreativeWork
142 sg:pub.10.1038/252546a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036485599
143 https://doi.org/10.1038/252546a0
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/35002125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016534270
146 https://doi.org/10.1038/35002125
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/35002131 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002786107
149 https://doi.org/10.1038/35002131
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/43199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003059937
152 https://doi.org/10.1038/43199
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/7720 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018925884
155 https://doi.org/10.1038/7720
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/(sici)1521-1878(199805)20:5<433::aid-bies10>3.0.co;2-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012079917
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/j.1460-2075.1990.tb07472.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1078411358
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1006/jtbi.1998.0790 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003505250
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/0022-2836(92)91065-w schema:sameAs https://app.dimensions.ai/details/publication/pub.1023244963
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/0092-8674(81)90327-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005512094
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/s0092-8674(00)80078-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009307358
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1021/bi952683e schema:sameAs https://app.dimensions.ai/details/publication/pub.1055211264
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1021/bi961527k schema:sameAs https://app.dimensions.ai/details/publication/pub.1055212424
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1073/pnas.43.7.553 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008211467
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1073/pnas.85.23.8973 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019074698
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1073/pnas.94.15.8168 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041744524
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1073/pnas.96.3.797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027804450
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1093/emboj/18.15.4299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003744278
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1093/nar/25.6.1203 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043602121
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1101/gad.4.5.752 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039796977
186 rdf:type schema:CreativeWork
187 https://www.grid.ac/institutes/grid.4709.a schema:alternateName European Molecular Biology Laboratory
188 schema:name EMBL, Structures & Biocomputing, Meyerhofstrasse 1, Heidelberg D-69012, Germany
189 rdf:type schema:Organization
 




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


...