A model of epigenetic evolution based on theory of open quantum systems View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Masanari Asano, Irina Basieva, Andrei Khrennikov, Masanori Ohya, Yoshiharu Tanaka, Ichiro Yamato

ABSTRACT

We present a very general model of epigenetic evolution unifying (neo-)Darwinian and (neo-)Lamarckian viewpoints. The evolution is represented in the form of adaptive dynamics given by the quantum(-like) master equation. This equation describes development of the information state of epigenome under the pressure of an environment. We use the formalism of quantum mechanics in the purely operational framework. (Hence, our model has no direct relation to quantum physical processes inside a cell.) Thus our model is about probabilities for observations which can be done on epigenomes and it does not provide a detailed description of cellular processes. Usage of the operational approach provides a possibility to describe by one model all known types of cellular epigenetic inheritance. More... »

PAGES

161-173

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11693-013-9109-3

DOI

http://dx.doi.org/10.1007/s11693-013-9109-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016804668

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24432153


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tokyo University of Science", 
          "id": "https://www.grid.ac/institutes/grid.143643.7", 
          "name": [
            "Department of Information Sciences, Tokyo University of Science, Yamasaki 2641, 278-8510, Noda-shi, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Asano", 
        "givenName": "Masanari", 
        "id": "sg:person.0705554004.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705554004.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Linnaeus University", 
          "id": "https://www.grid.ac/institutes/grid.8148.5", 
          "name": [
            "International Center for Mathematical Modeling in Physics and Cognitive Sciences, Linnaeus University, 35195, V\u00e4xj\u00f6, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Basieva", 
        "givenName": "Irina", 
        "id": "sg:person.013256162403.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013256162403.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Linnaeus University", 
          "id": "https://www.grid.ac/institutes/grid.8148.5", 
          "name": [
            "International Center for Mathematical Modeling in Physics and Cognitive Sciences, Linnaeus University, 35195, V\u00e4xj\u00f6, Sweden"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Khrennikov", 
        "givenName": "Andrei", 
        "id": "sg:person.07643047002.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07643047002.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo University of Science", 
          "id": "https://www.grid.ac/institutes/grid.143643.7", 
          "name": [
            "Department of Information Sciences, Tokyo University of Science, Yamasaki 2641, 278-8510, Noda-shi, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ohya", 
        "givenName": "Masanori", 
        "id": "sg:person.013365420775.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013365420775.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo University of Science", 
          "id": "https://www.grid.ac/institutes/grid.143643.7", 
          "name": [
            "Department of Information Sciences, Tokyo University of Science, Yamasaki 2641, 278-8510, Noda-shi, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tanaka", 
        "givenName": "Yoshiharu", 
        "id": "sg:person.012373722474.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012373722474.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo University of Science", 
          "id": "https://www.grid.ac/institutes/grid.143643.7", 
          "name": [
            "Department of Biological Science and Technology, Tokyo University of Science, Yamasaki 2641, 278-8510, Noda-shi, Chiba, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamato", 
        "givenName": "Ichiro", 
        "id": "sg:person.01070633550.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070633550.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/366223a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002202106", 
          "https://doi.org/10.1038/366223a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9822(02)00705-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005009559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fcimb.2012.00119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009376235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1014599045", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1014599045", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2012.08.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015322092"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nphys1202", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016203284", 
          "https://doi.org/10.1038/nphys1202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11693-012-9091-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016475643", 
          "https://doi.org/10.1007/s11693-012-9091-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physleta.2010.10.063", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019144665"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0303-2647(03)00041-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019872918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0303-2647(03)00041-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019872918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.73.062310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020095676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.73.062310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020095676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0303-2647(99)00004-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022963571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/598822", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023600971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.103.040403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023792089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.103.040403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023792089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:opsy.0000047570.68941.9d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023901362", 
          "https://doi.org/10.1023/b:opsy.0000047570.68941.9d"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0960-9822(02)00910-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024271652"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4236/wjns.2012.24028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025057209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bies.201100031", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027281404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.biosystems.2005.11.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029121138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1031609612", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1031609612", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/150563a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031883601", 
          "https://doi.org/10.1038/150563a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/150563a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031883601", 
          "https://doi.org/10.1038/150563a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11693-011-9081-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033541586", 
          "https://doi.org/10.1007/s11693-011-9081-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmp.2006.01.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044009508"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2443.1996.24025.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044112370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10701-010-9454-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045074803", 
          "https://doi.org/10.1007/s10701-010-9454-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049706378", 
          "https://doi.org/10.1038/ng1067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049706378", 
          "https://doi.org/10.1038/ng1067"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0303-2647(97)00030-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051328018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2011.04.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051567705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/mind/iii.11.362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059881569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s1230161209000074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063015506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/s1230161210000023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063015533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14704/nq.2008.6.3.178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067345354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.14704/nq.2009.7.4.253", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1067345429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2405747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069915071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074975855", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/9789812793171_0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1096069381"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/9789814273756_0001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098908035"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1142/9789814273756_0027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098908117"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5962/bhl.title.88017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099492077"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-12", 
    "datePublishedReg": "2013-12-01", 
    "description": "We present a very general model of epigenetic evolution unifying (neo-)Darwinian and (neo-)Lamarckian viewpoints. The evolution is represented in the form of adaptive dynamics given by the quantum(-like) master equation. This equation describes development of the information state of epigenome under the pressure of an environment. We use the formalism of quantum mechanics in the purely operational framework. (Hence, our model has no direct relation to quantum physical processes inside a cell.) Thus our model is about probabilities for observations which can be done on epigenomes and it does not provide a detailed description of cellular processes. Usage of the operational approach provides a possibility to describe by one model all known types of cellular epigenetic inheritance. ", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11693-013-9109-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1038419", 
        "issn": [
          "1872-5325", 
          "1872-5333"
        ], 
        "name": "Systems and Synthetic Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "A model of epigenetic evolution based on theory of open quantum systems", 
    "pagination": "161-173", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "50116bebf6753b86029f94363f89233b04beda2e6efc69076325a96187495b15"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24432153"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101300404"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11693-013-9109-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016804668"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11693-013-9109-3", 
      "https://app.dimensions.ai/details/publication/pub.1016804668"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:53", 
    "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_8664_00000521.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11693-013-9109-3"
  }
]
 

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/s11693-013-9109-3'

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/s11693-013-9109-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11693-013-9109-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11693-013-9109-3'


 

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

227 TRIPLES      21 PREDICATES      67 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11693-013-9109-3 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N308e43a98cfc4465afe5a5d4f9f650c6
4 schema:citation sg:pub.10.1007/s10701-010-9454-y
5 sg:pub.10.1007/s11693-011-9081-8
6 sg:pub.10.1007/s11693-012-9091-1
7 sg:pub.10.1023/b:opsy.0000047570.68941.9d
8 sg:pub.10.1038/150563a0
9 sg:pub.10.1038/366223a0
10 sg:pub.10.1038/ng1067
11 sg:pub.10.1038/nphys1202
12 https://app.dimensions.ai/details/publication/pub.1014599045
13 https://app.dimensions.ai/details/publication/pub.1031609612
14 https://app.dimensions.ai/details/publication/pub.1074975855
15 https://doi.org/10.1002/bies.201100031
16 https://doi.org/10.1016/j.biosystems.2005.11.005
17 https://doi.org/10.1016/j.jmp.2006.01.003
18 https://doi.org/10.1016/j.jtbi.2011.04.022
19 https://doi.org/10.1016/j.jtbi.2012.08.022
20 https://doi.org/10.1016/j.physleta.2010.10.063
21 https://doi.org/10.1016/s0303-2647(03)00041-8
22 https://doi.org/10.1016/s0303-2647(97)00030-0
23 https://doi.org/10.1016/s0303-2647(99)00004-0
24 https://doi.org/10.1016/s0960-9822(02)00705-4
25 https://doi.org/10.1016/s0960-9822(02)00910-7
26 https://doi.org/10.1046/j.1365-2443.1996.24025.x
27 https://doi.org/10.1086/598822
28 https://doi.org/10.1093/mind/iii.11.362
29 https://doi.org/10.1103/physreva.73.062310
30 https://doi.org/10.1103/physrevlett.103.040403
31 https://doi.org/10.1142/9789812793171_0001
32 https://doi.org/10.1142/9789814273756_0001
33 https://doi.org/10.1142/9789814273756_0027
34 https://doi.org/10.1142/s1230161209000074
35 https://doi.org/10.1142/s1230161210000023
36 https://doi.org/10.14704/nq.2008.6.3.178
37 https://doi.org/10.14704/nq.2009.7.4.253
38 https://doi.org/10.2307/2405747
39 https://doi.org/10.3389/fcimb.2012.00119
40 https://doi.org/10.4236/wjns.2012.24028
41 https://doi.org/10.5962/bhl.title.88017
42 schema:datePublished 2013-12
43 schema:datePublishedReg 2013-12-01
44 schema:description We present a very general model of epigenetic evolution unifying (neo-)Darwinian and (neo-)Lamarckian viewpoints. The evolution is represented in the form of adaptive dynamics given by the quantum(-like) master equation. This equation describes development of the information state of epigenome under the pressure of an environment. We use the formalism of quantum mechanics in the purely operational framework. (Hence, our model has no direct relation to quantum physical processes inside a cell.) Thus our model is about probabilities for observations which can be done on epigenomes and it does not provide a detailed description of cellular processes. Usage of the operational approach provides a possibility to describe by one model all known types of cellular epigenetic inheritance.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf N0d0e90e41aef4840bb5b2e3f40b8e9d2
49 N97b23a3c72de49b1b19315509fffa069
50 sg:journal.1038419
51 schema:name A model of epigenetic evolution based on theory of open quantum systems
52 schema:pagination 161-173
53 schema:productId N1395f7b3b5874ac4b67e576eb2e4b34d
54 N638a15ee60b74d278ee4ea9b404939f4
55 N8377e147131144579e2abf841dec1d95
56 N92177c205b014b4abde983c837cd57b1
57 Ne4fc5e931f5945158f84336f969b8d56
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016804668
59 https://doi.org/10.1007/s11693-013-9109-3
60 schema:sdDatePublished 2019-04-10T15:53
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N5a599bb507bf45a6bac44e4002d08e10
63 schema:url http://link.springer.com/10.1007%2Fs11693-013-9109-3
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N0d0e90e41aef4840bb5b2e3f40b8e9d2 schema:issueNumber 4
68 rdf:type schema:PublicationIssue
69 N1395f7b3b5874ac4b67e576eb2e4b34d schema:name nlm_unique_id
70 schema:value 101300404
71 rdf:type schema:PropertyValue
72 N25909f9f5ef747e49790327ffc213875 rdf:first sg:person.01070633550.42
73 rdf:rest rdf:nil
74 N308e43a98cfc4465afe5a5d4f9f650c6 rdf:first sg:person.0705554004.48
75 rdf:rest Ne35d6e3c384949e7be679f968979de90
76 N5a599bb507bf45a6bac44e4002d08e10 schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N638a15ee60b74d278ee4ea9b404939f4 schema:name dimensions_id
79 schema:value pub.1016804668
80 rdf:type schema:PropertyValue
81 N67e1dfde0a824968a2e270f6df9ad2c4 rdf:first sg:person.07643047002.20
82 rdf:rest Nd6c5b9c2b96d44ce82b929b579b86f77
83 N8377e147131144579e2abf841dec1d95 schema:name readcube_id
84 schema:value 50116bebf6753b86029f94363f89233b04beda2e6efc69076325a96187495b15
85 rdf:type schema:PropertyValue
86 N92177c205b014b4abde983c837cd57b1 schema:name pubmed_id
87 schema:value 24432153
88 rdf:type schema:PropertyValue
89 N97b23a3c72de49b1b19315509fffa069 schema:volumeNumber 7
90 rdf:type schema:PublicationVolume
91 Nbf313009f841492b844b75b44c011ece rdf:first sg:person.012373722474.75
92 rdf:rest N25909f9f5ef747e49790327ffc213875
93 Nd6c5b9c2b96d44ce82b929b579b86f77 rdf:first sg:person.013365420775.41
94 rdf:rest Nbf313009f841492b844b75b44c011ece
95 Ne35d6e3c384949e7be679f968979de90 rdf:first sg:person.013256162403.13
96 rdf:rest N67e1dfde0a824968a2e270f6df9ad2c4
97 Ne4fc5e931f5945158f84336f969b8d56 schema:name doi
98 schema:value 10.1007/s11693-013-9109-3
99 rdf:type schema:PropertyValue
100 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
101 schema:name Biological Sciences
102 rdf:type schema:DefinedTerm
103 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
104 schema:name Genetics
105 rdf:type schema:DefinedTerm
106 sg:journal.1038419 schema:issn 1872-5325
107 1872-5333
108 schema:name Systems and Synthetic Biology
109 rdf:type schema:Periodical
110 sg:person.01070633550.42 schema:affiliation https://www.grid.ac/institutes/grid.143643.7
111 schema:familyName Yamato
112 schema:givenName Ichiro
113 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070633550.42
114 rdf:type schema:Person
115 sg:person.012373722474.75 schema:affiliation https://www.grid.ac/institutes/grid.143643.7
116 schema:familyName Tanaka
117 schema:givenName Yoshiharu
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012373722474.75
119 rdf:type schema:Person
120 sg:person.013256162403.13 schema:affiliation https://www.grid.ac/institutes/grid.8148.5
121 schema:familyName Basieva
122 schema:givenName Irina
123 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013256162403.13
124 rdf:type schema:Person
125 sg:person.013365420775.41 schema:affiliation https://www.grid.ac/institutes/grid.143643.7
126 schema:familyName Ohya
127 schema:givenName Masanori
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013365420775.41
129 rdf:type schema:Person
130 sg:person.0705554004.48 schema:affiliation https://www.grid.ac/institutes/grid.143643.7
131 schema:familyName Asano
132 schema:givenName Masanari
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705554004.48
134 rdf:type schema:Person
135 sg:person.07643047002.20 schema:affiliation https://www.grid.ac/institutes/grid.8148.5
136 schema:familyName Khrennikov
137 schema:givenName Andrei
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07643047002.20
139 rdf:type schema:Person
140 sg:pub.10.1007/s10701-010-9454-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1045074803
141 https://doi.org/10.1007/s10701-010-9454-y
142 rdf:type schema:CreativeWork
143 sg:pub.10.1007/s11693-011-9081-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033541586
144 https://doi.org/10.1007/s11693-011-9081-8
145 rdf:type schema:CreativeWork
146 sg:pub.10.1007/s11693-012-9091-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016475643
147 https://doi.org/10.1007/s11693-012-9091-1
148 rdf:type schema:CreativeWork
149 sg:pub.10.1023/b:opsy.0000047570.68941.9d schema:sameAs https://app.dimensions.ai/details/publication/pub.1023901362
150 https://doi.org/10.1023/b:opsy.0000047570.68941.9d
151 rdf:type schema:CreativeWork
152 sg:pub.10.1038/150563a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031883601
153 https://doi.org/10.1038/150563a0
154 rdf:type schema:CreativeWork
155 sg:pub.10.1038/366223a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002202106
156 https://doi.org/10.1038/366223a0
157 rdf:type schema:CreativeWork
158 sg:pub.10.1038/ng1067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049706378
159 https://doi.org/10.1038/ng1067
160 rdf:type schema:CreativeWork
161 sg:pub.10.1038/nphys1202 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016203284
162 https://doi.org/10.1038/nphys1202
163 rdf:type schema:CreativeWork
164 https://app.dimensions.ai/details/publication/pub.1014599045 schema:CreativeWork
165 https://app.dimensions.ai/details/publication/pub.1031609612 schema:CreativeWork
166 https://app.dimensions.ai/details/publication/pub.1074975855 schema:CreativeWork
167 https://doi.org/10.1002/bies.201100031 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027281404
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.biosystems.2005.11.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029121138
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.jmp.2006.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044009508
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1016/j.jtbi.2011.04.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051567705
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1016/j.jtbi.2012.08.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015322092
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.physleta.2010.10.063 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019144665
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/s0303-2647(03)00041-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019872918
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/s0303-2647(97)00030-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051328018
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/s0303-2647(99)00004-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022963571
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/s0960-9822(02)00705-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005009559
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/s0960-9822(02)00910-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024271652
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1046/j.1365-2443.1996.24025.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044112370
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1086/598822 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023600971
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1093/mind/iii.11.362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059881569
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1103/physreva.73.062310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020095676
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1103/physrevlett.103.040403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023792089
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1142/9789812793171_0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1096069381
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1142/9789814273756_0001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098908035
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1142/9789814273756_0027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098908117
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1142/s1230161209000074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063015506
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1142/s1230161210000023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063015533
208 rdf:type schema:CreativeWork
209 https://doi.org/10.14704/nq.2008.6.3.178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067345354
210 rdf:type schema:CreativeWork
211 https://doi.org/10.14704/nq.2009.7.4.253 schema:sameAs https://app.dimensions.ai/details/publication/pub.1067345429
212 rdf:type schema:CreativeWork
213 https://doi.org/10.2307/2405747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069915071
214 rdf:type schema:CreativeWork
215 https://doi.org/10.3389/fcimb.2012.00119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009376235
216 rdf:type schema:CreativeWork
217 https://doi.org/10.4236/wjns.2012.24028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025057209
218 rdf:type schema:CreativeWork
219 https://doi.org/10.5962/bhl.title.88017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099492077
220 rdf:type schema:CreativeWork
221 https://www.grid.ac/institutes/grid.143643.7 schema:alternateName Tokyo University of Science
222 schema:name Department of Biological Science and Technology, Tokyo University of Science, Yamasaki 2641, 278-8510, Noda-shi, Chiba, Japan
223 Department of Information Sciences, Tokyo University of Science, Yamasaki 2641, 278-8510, Noda-shi, Chiba, Japan
224 rdf:type schema:Organization
225 https://www.grid.ac/institutes/grid.8148.5 schema:alternateName Linnaeus University
226 schema:name International Center for Mathematical Modeling in Physics and Cognitive Sciences, Linnaeus University, 35195, Växjö, Sweden
227 rdf:type schema:Organization
 




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


...