Latent Periodicity of Serine/Threonine and Tyrosine Protein Kinases and Other Protein Families View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-05

AUTHORS

A. A. Laskin, N. A. Kudryashov, K. G. Skryabin, E. V. Korotkov

ABSTRACT

A method of noise decomposition has been developed. This method allows for the identification of a latent periodicity with symbol insertions and deletions that is specific for all or most amino acid sequences belonging to the same protein family or protein domain. The latent periodicity has been identified in catalytic domains of 85% of serine/threonine and tyrosine protein kinases. Similar results have been obtained for 22 other protein families. The possible role of latent periodicity in protein families is discussed. More... »

PAGES

372-386

Journal

TITLE

Molecular Biology

ISSUE

3

VOLUME

39

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11008-005-0052-6

DOI

http://dx.doi.org/10.1007/s11008-005-0052-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1049843882


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": "Bioengineering Center", 
          "id": "https://www.grid.ac/institutes/grid.482762.d", 
          "name": [
            "Bioengineering Center, Russian Academy of Sciences, 117312, Moscow, Russia", 
            "Moscow Physical Engineering Institute, 115409, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Laskin", 
        "givenName": "A. A.", 
        "id": "sg:person.01276653270.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276653270.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Moscow Physical Engineering Institute, 115409, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kudryashov", 
        "givenName": "N. A.", 
        "id": "sg:person.012776467321.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012776467321.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bioengineering Center", 
          "id": "https://www.grid.ac/institutes/grid.482762.d", 
          "name": [
            "Bioengineering Center, Russian Academy of Sciences, 117312, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Skryabin", 
        "givenName": "K. G.", 
        "id": "sg:person.01204515525.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204515525.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bioengineering Center", 
          "id": "https://www.grid.ac/institutes/grid.482762.d", 
          "name": [
            "Bioengineering Center, Russian Academy of Sciences, 117312, Moscow, Russia", 
            "Moscow Physical Engineering Institute, 115409, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Korotkov", 
        "givenName": "E. V.", 
        "id": "sg:person.01274151123.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274151123.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0959-440x(98)80068-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000262447"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1058040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001517867"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0375-9601(03)00641-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004343633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0375-9601(03)00641-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004343633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.1.45", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004742321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-86659-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006433795", 
          "https://doi.org/10.1007/978-3-642-86659-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-86659-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006433795", 
          "https://doi.org/10.1007/978-3-642-86659-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.274.42.29850", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006667669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/13.1.37", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006849282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07391102.1998.10508214", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007199327"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s008940050122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007337251", 
          "https://doi.org/10.1007/s008940050122"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0968-0004(00)01643-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009426549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0134(20001101)41:2<224::aid-prot70>3.0.co;2-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009870827"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.cb.08.110192.002241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011171750"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/protein/15.2.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011710374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.272.6.3125", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012446200"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0097-8485(94)85018-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015405423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10425179509020866", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015570818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/28.1.15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015984700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1025139427862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017183923", 
          "https://doi.org/10.1023/a:1025139427862"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/29.1.17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017628399"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.15.8580", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017913465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5193(86)80060-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018681514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.287.5461.2185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019737566"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(70)90057-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021169618"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.2000.3684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021680518"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-1119(99)00226-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023639215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.84.13.4355", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024077784"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/14.6.498", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024965641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jtbi.2000.2127", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025368249"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.molbev.a025742", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025894717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0097-8485(00)80005-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031739792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.271.7.3488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032089356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/267521.267526", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033178637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/267521.267526", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033178637"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02104737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034838417", 
          "https://doi.org/10.1007/bf02104737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02104737", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034838417", 
          "https://doi.org/10.1007/bf02104737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/27.2.573", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035372973"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/dnares/6.3.153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039190731"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/1042517031000064457", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040869714"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0969-2126(00)00036-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041719157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0076-6879(91)00125-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042207654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.270.34.19839", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046338040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1214/aos/1176347616", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048212227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/emboj/18.1.85", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048657772"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.80.11.3391", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050138811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/bbrc.2000.2112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051554638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0959-440x(94)90264-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051933208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/j100114a028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055653529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.68.3805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060804859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.68.3805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060804859"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.3291115", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062604905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3367/ufnr.0170.200001c.0057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071219535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1096/fasebj.9.13.7557015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082411795"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/cmb.1997.4.351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1111237335"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2005-05", 
    "datePublishedReg": "2005-05-01", 
    "description": "A method of noise decomposition has been developed. This method allows for the identification of a latent periodicity with symbol insertions and deletions that is specific for all or most amino acid sequences belonging to the same protein family or protein domain. The latent periodicity has been identified in catalytic domains of 85% of serine/threonine and tyrosine protein kinases. Similar results have been obtained for 22 other protein families. The possible role of latent periodicity in protein families is discussed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11008-005-0052-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1356887", 
        "issn": [
          "0026-8933", 
          "1608-3245"
        ], 
        "name": "Molecular Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "39"
      }
    ], 
    "name": "Latent Periodicity of Serine/Threonine and Tyrosine Protein Kinases and Other Protein Families", 
    "pagination": "372-386", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ed70ac36d1abdcb4091100b1730994dd7833050c76e1138613015db9ee40e86b"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11008-005-0052-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1049843882"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11008-005-0052-6", 
      "https://app.dimensions.ai/details/publication/pub.1049843882"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T10:33", 
    "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/v90/0000000349_0000000349/records_113658_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11008-005-0052-6"
  }
]
 

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/s11008-005-0052-6'

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/s11008-005-0052-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11008-005-0052-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11008-005-0052-6'


 

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

239 TRIPLES      21 PREDICATES      77 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11008-005-0052-6 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N640b848c1e634c7e9d99e01f3f0f3211
4 schema:citation sg:pub.10.1007/978-3-642-86659-3
5 sg:pub.10.1007/bf02104737
6 sg:pub.10.1007/s008940050122
7 sg:pub.10.1023/a:1025139427862
8 https://doi.org/10.1002/1097-0134(20001101)41:2<224::aid-prot70>3.0.co;2-z
9 https://doi.org/10.1006/bbrc.2000.2112
10 https://doi.org/10.1006/jmbi.2000.3684
11 https://doi.org/10.1006/jtbi.2000.2127
12 https://doi.org/10.1016/0022-2836(70)90057-4
13 https://doi.org/10.1016/0076-6879(91)00125-g
14 https://doi.org/10.1016/0097-8485(94)85018-6
15 https://doi.org/10.1016/0959-440x(94)90264-x
16 https://doi.org/10.1016/s0022-5193(86)80060-1
17 https://doi.org/10.1016/s0097-8485(00)80005-4
18 https://doi.org/10.1016/s0375-9601(03)00641-8
19 https://doi.org/10.1016/s0378-1119(99)00226-7
20 https://doi.org/10.1016/s0959-440x(98)80068-7
21 https://doi.org/10.1016/s0968-0004(00)01643-1
22 https://doi.org/10.1016/s0969-2126(00)00036-8
23 https://doi.org/10.1021/j100114a028
24 https://doi.org/10.1073/pnas.80.11.3391
25 https://doi.org/10.1073/pnas.84.13.4355
26 https://doi.org/10.1073/pnas.95.15.8580
27 https://doi.org/10.1074/jbc.270.34.19839
28 https://doi.org/10.1074/jbc.271.7.3488
29 https://doi.org/10.1074/jbc.272.6.3125
30 https://doi.org/10.1074/jbc.274.42.29850
31 https://doi.org/10.1080/07391102.1998.10508214
32 https://doi.org/10.1080/1042517031000064457
33 https://doi.org/10.1089/cmb.1997.4.351
34 https://doi.org/10.1093/bioinformatics/13.1.37
35 https://doi.org/10.1093/bioinformatics/14.6.498
36 https://doi.org/10.1093/dnares/6.3.153
37 https://doi.org/10.1093/emboj/18.1.85
38 https://doi.org/10.1093/nar/27.2.573
39 https://doi.org/10.1093/nar/28.1.15
40 https://doi.org/10.1093/nar/28.1.45
41 https://doi.org/10.1093/nar/29.1.17
42 https://doi.org/10.1093/oxfordjournals.molbev.a025742
43 https://doi.org/10.1093/protein/15.2.79
44 https://doi.org/10.1096/fasebj.9.13.7557015
45 https://doi.org/10.1103/physrevlett.68.3805
46 https://doi.org/10.1126/science.1058040
47 https://doi.org/10.1126/science.287.5461.2185
48 https://doi.org/10.1126/science.3291115
49 https://doi.org/10.1145/267521.267526
50 https://doi.org/10.1146/annurev.cb.08.110192.002241
51 https://doi.org/10.1214/aos/1176347616
52 https://doi.org/10.3109/10425179509020866
53 https://doi.org/10.3367/ufnr.0170.200001c.0057
54 schema:datePublished 2005-05
55 schema:datePublishedReg 2005-05-01
56 schema:description A method of noise decomposition has been developed. This method allows for the identification of a latent periodicity with symbol insertions and deletions that is specific for all or most amino acid sequences belonging to the same protein family or protein domain. The latent periodicity has been identified in catalytic domains of 85% of serine/threonine and tyrosine protein kinases. Similar results have been obtained for 22 other protein families. The possible role of latent periodicity in protein families is discussed.
57 schema:genre research_article
58 schema:inLanguage en
59 schema:isAccessibleForFree false
60 schema:isPartOf N2131fa4f1fe9432cab88c79d5e8fcc73
61 N3a64b48152f44d6394f12cc3d172dc1b
62 sg:journal.1356887
63 schema:name Latent Periodicity of Serine/Threonine and Tyrosine Protein Kinases and Other Protein Families
64 schema:pagination 372-386
65 schema:productId N00880ac68e7c44c8a48bdb348cb0e816
66 N2f241b6112dc47eea679bd09e3de7f4d
67 N61ced13ddfa14a03b4fa1759f137bd0a
68 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049843882
69 https://doi.org/10.1007/s11008-005-0052-6
70 schema:sdDatePublished 2019-04-11T10:33
71 schema:sdLicense https://scigraph.springernature.com/explorer/license/
72 schema:sdPublisher Nb6c4a616d3b4438993956632fd8e0162
73 schema:url http://link.springer.com/10.1007%2Fs11008-005-0052-6
74 sgo:license sg:explorer/license/
75 sgo:sdDataset articles
76 rdf:type schema:ScholarlyArticle
77 N00880ac68e7c44c8a48bdb348cb0e816 schema:name readcube_id
78 schema:value ed70ac36d1abdcb4091100b1730994dd7833050c76e1138613015db9ee40e86b
79 rdf:type schema:PropertyValue
80 N2131fa4f1fe9432cab88c79d5e8fcc73 schema:volumeNumber 39
81 rdf:type schema:PublicationVolume
82 N2f241b6112dc47eea679bd09e3de7f4d schema:name doi
83 schema:value 10.1007/s11008-005-0052-6
84 rdf:type schema:PropertyValue
85 N3a64b48152f44d6394f12cc3d172dc1b schema:issueNumber 3
86 rdf:type schema:PublicationIssue
87 N44fce04ca9bf42679126ad51b88ade13 rdf:first sg:person.01274151123.51
88 rdf:rest rdf:nil
89 N61ced13ddfa14a03b4fa1759f137bd0a schema:name dimensions_id
90 schema:value pub.1049843882
91 rdf:type schema:PropertyValue
92 N640b848c1e634c7e9d99e01f3f0f3211 rdf:first sg:person.01276653270.29
93 rdf:rest Nef88015152404b749aa707f338b09d58
94 Na49624abe9294841b2c4c4f7845bc156 schema:name Moscow Physical Engineering Institute, 115409, Moscow, Russia
95 rdf:type schema:Organization
96 Nb6c4a616d3b4438993956632fd8e0162 schema:name Springer Nature - SN SciGraph project
97 rdf:type schema:Organization
98 Nb6f452909e4a48518acae52a6a5f820b rdf:first sg:person.01204515525.15
99 rdf:rest N44fce04ca9bf42679126ad51b88ade13
100 Nef88015152404b749aa707f338b09d58 rdf:first sg:person.012776467321.17
101 rdf:rest Nb6f452909e4a48518acae52a6a5f820b
102 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
103 schema:name Biological Sciences
104 rdf:type schema:DefinedTerm
105 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
106 schema:name Biochemistry and Cell Biology
107 rdf:type schema:DefinedTerm
108 sg:journal.1356887 schema:issn 0026-8933
109 1608-3245
110 schema:name Molecular Biology
111 rdf:type schema:Periodical
112 sg:person.01204515525.15 schema:affiliation https://www.grid.ac/institutes/grid.482762.d
113 schema:familyName Skryabin
114 schema:givenName K. G.
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204515525.15
116 rdf:type schema:Person
117 sg:person.01274151123.51 schema:affiliation https://www.grid.ac/institutes/grid.482762.d
118 schema:familyName Korotkov
119 schema:givenName E. V.
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274151123.51
121 rdf:type schema:Person
122 sg:person.01276653270.29 schema:affiliation https://www.grid.ac/institutes/grid.482762.d
123 schema:familyName Laskin
124 schema:givenName A. A.
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276653270.29
126 rdf:type schema:Person
127 sg:person.012776467321.17 schema:affiliation Na49624abe9294841b2c4c4f7845bc156
128 schema:familyName Kudryashov
129 schema:givenName N. A.
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012776467321.17
131 rdf:type schema:Person
132 sg:pub.10.1007/978-3-642-86659-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006433795
133 https://doi.org/10.1007/978-3-642-86659-3
134 rdf:type schema:CreativeWork
135 sg:pub.10.1007/bf02104737 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034838417
136 https://doi.org/10.1007/bf02104737
137 rdf:type schema:CreativeWork
138 sg:pub.10.1007/s008940050122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007337251
139 https://doi.org/10.1007/s008940050122
140 rdf:type schema:CreativeWork
141 sg:pub.10.1023/a:1025139427862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017183923
142 https://doi.org/10.1023/a:1025139427862
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1002/1097-0134(20001101)41:2<224::aid-prot70>3.0.co;2-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1009870827
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1006/bbrc.2000.2112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051554638
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1006/jmbi.2000.3684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021680518
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1006/jtbi.2000.2127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025368249
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1016/0022-2836(70)90057-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021169618
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1016/0076-6879(91)00125-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1042207654
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1016/0097-8485(94)85018-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015405423
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1016/0959-440x(94)90264-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1051933208
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1016/s0022-5193(86)80060-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018681514
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1016/s0097-8485(00)80005-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031739792
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1016/s0375-9601(03)00641-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004343633
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/s0378-1119(99)00226-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023639215
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/s0959-440x(98)80068-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000262447
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/s0968-0004(00)01643-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009426549
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/s0969-2126(00)00036-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041719157
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1021/j100114a028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055653529
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1073/pnas.80.11.3391 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050138811
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1073/pnas.84.13.4355 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024077784
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1073/pnas.95.15.8580 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017913465
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1074/jbc.270.34.19839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046338040
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1074/jbc.271.7.3488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032089356
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1074/jbc.272.6.3125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012446200
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1074/jbc.274.42.29850 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006667669
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1080/07391102.1998.10508214 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007199327
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1080/1042517031000064457 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040869714
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1089/cmb.1997.4.351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111237335
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1093/bioinformatics/13.1.37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006849282
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1093/bioinformatics/14.6.498 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024965641
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1093/dnares/6.3.153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039190731
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1093/emboj/18.1.85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048657772
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1093/nar/27.2.573 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035372973
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1093/nar/28.1.15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015984700
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1093/nar/28.1.45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004742321
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1093/nar/29.1.17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017628399
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1093/oxfordjournals.molbev.a025742 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025894717
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1093/protein/15.2.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011710374
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1096/fasebj.9.13.7557015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082411795
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1103/physrevlett.68.3805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060804859
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1126/science.1058040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001517867
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1126/science.287.5461.2185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019737566
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1126/science.3291115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062604905
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1145/267521.267526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033178637
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1146/annurev.cb.08.110192.002241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011171750
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1214/aos/1176347616 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048212227
231 rdf:type schema:CreativeWork
232 https://doi.org/10.3109/10425179509020866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015570818
233 rdf:type schema:CreativeWork
234 https://doi.org/10.3367/ufnr.0170.200001c.0057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071219535
235 rdf:type schema:CreativeWork
236 https://www.grid.ac/institutes/grid.482762.d schema:alternateName Bioengineering Center
237 schema:name Bioengineering Center, Russian Academy of Sciences, 117312, Moscow, Russia
238 Moscow Physical Engineering Institute, 115409, Moscow, Russia
239 rdf:type schema:Organization
 




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


...