Mathematical Analysis of a Transformed ODE from a PDE Multiscale Model of Hepatitis C Virus Infection View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-05

AUTHORS

Kosaku Kitagawa, Toshikazu Kuniya, Shinji Nakaoka, Yusuke Asai, Koichi Watashi, Shingo Iwami

ABSTRACT

Mathematical modeling has revealed the quantitative dynamics during the process of viral infection and evolved into an important tool in modern virology. Coupled with analyses of clinical and experimental data, the widely used basic model of viral dynamics described by ordinary differential equations (ODEs) has been well parameterized. In recent years, age-structured models, called "multiscale model," formulated by partial differential equations (PDEs) have also been developed and become useful tools for more detailed data analysis. However, in general, PDE models are considerably more difficult to subject to mathematical and numerical analyses. In our recently reported study, we successfully derived a mathematically identical ODE model from a PDE model, which helps to overcome the limitations of the PDE model with regard to clinical data analysis. Here, we derive the basic reproduction number from the identical ODE model and provide insight into the global stability of all possible steady states of the ODE model. More... »

PAGES

1-15

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11538-018-00564-y

DOI

http://dx.doi.org/10.1007/s11538-018-00564-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111403829

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30644067


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/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Mathematical Biology Laboratory, Department of Biology, Faculty of Sciences, Kyushu University, 819-0395, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kitagawa", 
        "givenName": "Kosaku", 
        "id": "sg:person.014616603132.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014616603132.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kobe University", 
          "id": "https://www.grid.ac/institutes/grid.31432.37", 
          "name": [
            "Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, 657-8501, Kobe, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kuniya", 
        "givenName": "Toshikazu", 
        "id": "sg:person.013052750073.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013052750073.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Science and Technology Agency", 
          "id": "https://www.grid.ac/institutes/grid.419082.6", 
          "name": [
            "Faculty of Advanced Life Science, Hokkaido University, Science Building No 2, Kita 10, Nishi 8, Kita-ku, 060-0810, Sapporo, Japan", 
            "PRESTO, JST, 332-0012, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakaoka", 
        "givenName": "Shinji", 
        "id": "sg:person.01255366502.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255366502.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Science and Technology Agency", 
          "id": "https://www.grid.ac/institutes/grid.419082.6", 
          "name": [
            "Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, 060-8638, Sapporo-shi, Hokkaido, Japan", 
            "CREST, JST, 332-0012, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Asai", 
        "givenName": "Yusuke", 
        "id": "sg:person.013047404723.74", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013047404723.74"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo University of Science", 
          "id": "https://www.grid.ac/institutes/grid.143643.7", 
          "name": [
            "CREST, JST, 332-0012, Saitama, Japan", 
            "Department of Virology II, National Institute of Infectious Diseases, 162-8640, Tokyo, Japan", 
            "Department of Applied Biological Sciences, Tokyo University of Science, 278-8510, Noda, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watashi", 
        "givenName": "Koichi", 
        "id": "sg:person.01263724267.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263724267.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Japan Science and Technology Agency", 
          "id": "https://www.grid.ac/institutes/grid.419082.6", 
          "name": [
            "Mathematical Biology Laboratory, Department of Biology, Faculty of Sciences, Kyushu University, 819-0395, Fukuoka, Japan", 
            "PRESTO, JST, 332-0012, Saitama, Japan", 
            "CREST, JST, 332-0012, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwami", 
        "givenName": "Shingo", 
        "id": "sg:person.01051033261.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051033261.50"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.antiviral.2016.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001414313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.antiviral.2016.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001414313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.antiviral.2016.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001414313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.antiviral.2016.10.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001414313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003731496", 
          "https://doi.org/10.1038/nri700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri700", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003731496", 
          "https://doi.org/10.1038/nri700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jvi.01799-08", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004158761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmicb.2012.00319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008527158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mbs.2006.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012776836"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/373123a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014949926", 
          "https://doi.org/10.1038/373123a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00036810903208122", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021309384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/373117a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025418642", 
          "https://doi.org/10.1038/373117a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/387188a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026180202", 
          "https://doi.org/10.1038/387188a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(87)90030-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028828852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3800(87)90030-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028828852"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1002959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029863523"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1203110110", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031937910"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mbs.2013.04.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033679878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2010.08.036", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037594622"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jvi.07244-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037683954"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00285-011-0463-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039595494", 
          "https://doi.org/10.1007/s00285-011-0463-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmaa.2015.06.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042834698"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044001154", 
          "https://doi.org/10.1038/nature03153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature03153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044001154", 
          "https://doi.org/10.1038/nature03153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(99)02035-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050718060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2009.03.040", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053296488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1049/iet-syb:20060067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1056839181"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/imammb/6.1.1-a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059688123"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.271.5255.1582", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062552466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.282.5386.103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062562631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/060663945", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062849512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/110826588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062864696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/s0036144598335107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062877983"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3934/mbe.2004.1.267", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071741304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3934/mbe.2012.9.819", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071741721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3934/mbe.2013.10.369", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071741782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.1005331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074209028"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mbs.2018.03.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101532725"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fmicb.2018.00601", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103152459"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2018.04.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103184745"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-05", 
    "datePublishedReg": "2019-05-01", 
    "description": "Mathematical modeling has revealed the quantitative dynamics during the process of viral infection and evolved into an important tool in modern virology. Coupled with analyses of clinical and experimental data, the widely used basic model of viral dynamics described by ordinary differential equations (ODEs) has been well parameterized. In recent years, age-structured models, called \"multiscale model,\" formulated by partial differential equations (PDEs) have also been developed and become useful tools for more detailed data analysis. However, in general, PDE models are considerably more difficult to subject to mathematical and numerical analyses. In our recently reported study, we successfully derived a mathematically identical ODE model from a PDE model, which helps to overcome the limitations of the PDE model with regard to clinical data analysis. Here, we derive the basic reproduction number from the identical ODE model and provide insight into the global stability of all possible steady states of the ODE model.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11538-018-00564-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6536700", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5910890", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6822053", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5896367", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5876440", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.5919875", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7520688", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6534923", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.7524514", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.6823616", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1018370", 
        "issn": [
          "0092-8240", 
          "1522-9602"
        ], 
        "name": "Bulletin of Mathematical Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "81"
      }
    ], 
    "name": "Mathematical Analysis of a Transformed ODE from a PDE Multiscale Model of Hepatitis C Virus Infection", 
    "pagination": "1-15", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4c3feb9295fd2daa1ec2b9df42964edff5fa56c1207ff8899064bce17cd1cc4b"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30644067"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0401404"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11538-018-00564-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111403829"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11538-018-00564-y", 
      "https://app.dimensions.ai/details/publication/pub.1111403829"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:03", 
    "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/v90/0000000371_0000000371/records_130831_00000006.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11538-018-00564-y"
  }
]
 

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/s11538-018-00564-y'

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/s11538-018-00564-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11538-018-00564-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11538-018-00564-y'


 

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

247 TRIPLES      21 PREDICATES      63 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11538-018-00564-y schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author N4f56bb1eada34d47b42cb31c8cccb603
4 schema:citation sg:pub.10.1007/s00285-011-0463-z
5 sg:pub.10.1038/373117a0
6 sg:pub.10.1038/373123a0
7 sg:pub.10.1038/387188a0
8 sg:pub.10.1038/nature03153
9 sg:pub.10.1038/nri700
10 https://doi.org/10.1016/0304-3800(87)90030-5
11 https://doi.org/10.1016/j.antiviral.2016.10.004
12 https://doi.org/10.1016/j.jmaa.2015.06.040
13 https://doi.org/10.1016/j.jtbi.2009.03.040
14 https://doi.org/10.1016/j.jtbi.2010.08.036
15 https://doi.org/10.1016/j.jtbi.2018.04.006
16 https://doi.org/10.1016/j.mbs.2006.08.001
17 https://doi.org/10.1016/j.mbs.2013.04.012
18 https://doi.org/10.1016/j.mbs.2018.03.011
19 https://doi.org/10.1016/s0140-6736(99)02035-8
20 https://doi.org/10.1049/iet-syb:20060067
21 https://doi.org/10.1073/pnas.1203110110
22 https://doi.org/10.1080/00036810903208122
23 https://doi.org/10.1093/imammb/6.1.1-a
24 https://doi.org/10.1126/science.271.5255.1582
25 https://doi.org/10.1126/science.282.5386.103
26 https://doi.org/10.1128/jvi.01799-08
27 https://doi.org/10.1128/jvi.07244-11
28 https://doi.org/10.1137/060663945
29 https://doi.org/10.1137/110826588
30 https://doi.org/10.1137/s0036144598335107
31 https://doi.org/10.1371/journal.pcbi.1002959
32 https://doi.org/10.1371/journal.pcbi.1005331
33 https://doi.org/10.3389/fmicb.2012.00319
34 https://doi.org/10.3389/fmicb.2018.00601
35 https://doi.org/10.3934/mbe.2004.1.267
36 https://doi.org/10.3934/mbe.2012.9.819
37 https://doi.org/10.3934/mbe.2013.10.369
38 schema:datePublished 2019-05
39 schema:datePublishedReg 2019-05-01
40 schema:description Mathematical modeling has revealed the quantitative dynamics during the process of viral infection and evolved into an important tool in modern virology. Coupled with analyses of clinical and experimental data, the widely used basic model of viral dynamics described by ordinary differential equations (ODEs) has been well parameterized. In recent years, age-structured models, called "multiscale model," formulated by partial differential equations (PDEs) have also been developed and become useful tools for more detailed data analysis. However, in general, PDE models are considerably more difficult to subject to mathematical and numerical analyses. In our recently reported study, we successfully derived a mathematically identical ODE model from a PDE model, which helps to overcome the limitations of the PDE model with regard to clinical data analysis. Here, we derive the basic reproduction number from the identical ODE model and provide insight into the global stability of all possible steady states of the ODE model.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N2bbf2914597349fab27caa0d9eef1175
45 N9077d81b771345b3856ee66280ccec29
46 sg:journal.1018370
47 schema:name Mathematical Analysis of a Transformed ODE from a PDE Multiscale Model of Hepatitis C Virus Infection
48 schema:pagination 1-15
49 schema:productId N1acd56d3981644729e4bfeb81d4ce0b9
50 N241224e04c934910a6c26d71c25cb781
51 N35fdaa6c7955482c95b1f1289b511e8b
52 N80a5e9d95797404a90ca5edfbc47ae60
53 Nce7a4ec90f044db7b536acde4aaf67c1
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111403829
55 https://doi.org/10.1007/s11538-018-00564-y
56 schema:sdDatePublished 2019-04-11T14:03
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N3e17d9012d66490b9de58b88e2a8522b
59 schema:url https://link.springer.com/10.1007%2Fs11538-018-00564-y
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N03467f7037d6477ba31cb1d8fc2715c1 rdf:first sg:person.01051033261.50
64 rdf:rest rdf:nil
65 N1acd56d3981644729e4bfeb81d4ce0b9 schema:name doi
66 schema:value 10.1007/s11538-018-00564-y
67 rdf:type schema:PropertyValue
68 N241224e04c934910a6c26d71c25cb781 schema:name dimensions_id
69 schema:value pub.1111403829
70 rdf:type schema:PropertyValue
71 N2bbf2914597349fab27caa0d9eef1175 schema:issueNumber 5
72 rdf:type schema:PublicationIssue
73 N35fdaa6c7955482c95b1f1289b511e8b schema:name readcube_id
74 schema:value 4c3feb9295fd2daa1ec2b9df42964edff5fa56c1207ff8899064bce17cd1cc4b
75 rdf:type schema:PropertyValue
76 N3625bd5dc49c4640adf1f577831d8af6 rdf:first sg:person.013047404723.74
77 rdf:rest N93a5c1eeb11e47cb90b5b5ef15fb6cf6
78 N3e17d9012d66490b9de58b88e2a8522b schema:name Springer Nature - SN SciGraph project
79 rdf:type schema:Organization
80 N4f56bb1eada34d47b42cb31c8cccb603 rdf:first sg:person.014616603132.02
81 rdf:rest Nec31775c1128482bb6f929509c7a1464
82 N80a5e9d95797404a90ca5edfbc47ae60 schema:name nlm_unique_id
83 schema:value 0401404
84 rdf:type schema:PropertyValue
85 N9077d81b771345b3856ee66280ccec29 schema:volumeNumber 81
86 rdf:type schema:PublicationVolume
87 N93a5c1eeb11e47cb90b5b5ef15fb6cf6 rdf:first sg:person.01263724267.41
88 rdf:rest N03467f7037d6477ba31cb1d8fc2715c1
89 Na212a8d750c04b0dae7ce2a5918a01bc rdf:first sg:person.01255366502.55
90 rdf:rest N3625bd5dc49c4640adf1f577831d8af6
91 Nce7a4ec90f044db7b536acde4aaf67c1 schema:name pubmed_id
92 schema:value 30644067
93 rdf:type schema:PropertyValue
94 Nec31775c1128482bb6f929509c7a1464 rdf:first sg:person.013052750073.02
95 rdf:rest Na212a8d750c04b0dae7ce2a5918a01bc
96 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
97 schema:name Mathematical Sciences
98 rdf:type schema:DefinedTerm
99 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
100 schema:name Applied Mathematics
101 rdf:type schema:DefinedTerm
102 sg:grant.5876440 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
103 rdf:type schema:MonetaryGrant
104 sg:grant.5896367 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
105 rdf:type schema:MonetaryGrant
106 sg:grant.5910890 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
107 rdf:type schema:MonetaryGrant
108 sg:grant.5919875 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
109 rdf:type schema:MonetaryGrant
110 sg:grant.6534923 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
111 rdf:type schema:MonetaryGrant
112 sg:grant.6536700 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
113 rdf:type schema:MonetaryGrant
114 sg:grant.6822053 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
115 rdf:type schema:MonetaryGrant
116 sg:grant.6823616 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
117 rdf:type schema:MonetaryGrant
118 sg:grant.7520688 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
119 rdf:type schema:MonetaryGrant
120 sg:grant.7524514 http://pending.schema.org/fundedItem sg:pub.10.1007/s11538-018-00564-y
121 rdf:type schema:MonetaryGrant
122 sg:journal.1018370 schema:issn 0092-8240
123 1522-9602
124 schema:name Bulletin of Mathematical Biology
125 rdf:type schema:Periodical
126 sg:person.01051033261.50 schema:affiliation https://www.grid.ac/institutes/grid.419082.6
127 schema:familyName Iwami
128 schema:givenName Shingo
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01051033261.50
130 rdf:type schema:Person
131 sg:person.01255366502.55 schema:affiliation https://www.grid.ac/institutes/grid.419082.6
132 schema:familyName Nakaoka
133 schema:givenName Shinji
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255366502.55
135 rdf:type schema:Person
136 sg:person.01263724267.41 schema:affiliation https://www.grid.ac/institutes/grid.143643.7
137 schema:familyName Watashi
138 schema:givenName Koichi
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01263724267.41
140 rdf:type schema:Person
141 sg:person.013047404723.74 schema:affiliation https://www.grid.ac/institutes/grid.419082.6
142 schema:familyName Asai
143 schema:givenName Yusuke
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013047404723.74
145 rdf:type schema:Person
146 sg:person.013052750073.02 schema:affiliation https://www.grid.ac/institutes/grid.31432.37
147 schema:familyName Kuniya
148 schema:givenName Toshikazu
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013052750073.02
150 rdf:type schema:Person
151 sg:person.014616603132.02 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
152 schema:familyName Kitagawa
153 schema:givenName Kosaku
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014616603132.02
155 rdf:type schema:Person
156 sg:pub.10.1007/s00285-011-0463-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1039595494
157 https://doi.org/10.1007/s00285-011-0463-z
158 rdf:type schema:CreativeWork
159 sg:pub.10.1038/373117a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025418642
160 https://doi.org/10.1038/373117a0
161 rdf:type schema:CreativeWork
162 sg:pub.10.1038/373123a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014949926
163 https://doi.org/10.1038/373123a0
164 rdf:type schema:CreativeWork
165 sg:pub.10.1038/387188a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026180202
166 https://doi.org/10.1038/387188a0
167 rdf:type schema:CreativeWork
168 sg:pub.10.1038/nature03153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044001154
169 https://doi.org/10.1038/nature03153
170 rdf:type schema:CreativeWork
171 sg:pub.10.1038/nri700 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003731496
172 https://doi.org/10.1038/nri700
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/0304-3800(87)90030-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028828852
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.antiviral.2016.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001414313
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.jmaa.2015.06.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042834698
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.jtbi.2009.03.040 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053296488
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.jtbi.2010.08.036 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037594622
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.jtbi.2018.04.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103184745
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.mbs.2006.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012776836
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.mbs.2013.04.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033679878
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.mbs.2018.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101532725
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/s0140-6736(99)02035-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050718060
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1049/iet-syb:20060067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1056839181
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1073/pnas.1203110110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031937910
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1080/00036810903208122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021309384
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1093/imammb/6.1.1-a schema:sameAs https://app.dimensions.ai/details/publication/pub.1059688123
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1126/science.271.5255.1582 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062552466
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1126/science.282.5386.103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062562631
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1128/jvi.01799-08 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004158761
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1128/jvi.07244-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037683954
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1137/060663945 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062849512
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1137/110826588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062864696
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1137/s0036144598335107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062877983
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1371/journal.pcbi.1002959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029863523
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1371/journal.pcbi.1005331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074209028
219 rdf:type schema:CreativeWork
220 https://doi.org/10.3389/fmicb.2012.00319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008527158
221 rdf:type schema:CreativeWork
222 https://doi.org/10.3389/fmicb.2018.00601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103152459
223 rdf:type schema:CreativeWork
224 https://doi.org/10.3934/mbe.2004.1.267 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071741304
225 rdf:type schema:CreativeWork
226 https://doi.org/10.3934/mbe.2012.9.819 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071741721
227 rdf:type schema:CreativeWork
228 https://doi.org/10.3934/mbe.2013.10.369 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071741782
229 rdf:type schema:CreativeWork
230 https://www.grid.ac/institutes/grid.143643.7 schema:alternateName Tokyo University of Science
231 schema:name CREST, JST, 332-0012, Saitama, Japan
232 Department of Applied Biological Sciences, Tokyo University of Science, 278-8510, Noda, Japan
233 Department of Virology II, National Institute of Infectious Diseases, 162-8640, Tokyo, Japan
234 rdf:type schema:Organization
235 https://www.grid.ac/institutes/grid.177174.3 schema:alternateName Kyushu University
236 schema:name Mathematical Biology Laboratory, Department of Biology, Faculty of Sciences, Kyushu University, 819-0395, Fukuoka, Japan
237 rdf:type schema:Organization
238 https://www.grid.ac/institutes/grid.31432.37 schema:alternateName Kobe University
239 schema:name Graduate School of System Informatics, Kobe University, 1-1 Rokkodai-cho, Nada-ku, 657-8501, Kobe, Japan
240 rdf:type schema:Organization
241 https://www.grid.ac/institutes/grid.419082.6 schema:alternateName Japan Science and Technology Agency
242 schema:name CREST, JST, 332-0012, Saitama, Japan
243 Faculty of Advanced Life Science, Hokkaido University, Science Building No 2, Kita 10, Nishi 8, Kita-ku, 060-0810, Sapporo, Japan
244 Graduate School of Medicine, Hokkaido University, Kita 15 Jo Nishi 7 Chome, Kita-ku, 060-8638, Sapporo-shi, Hokkaido, Japan
245 Mathematical Biology Laboratory, Department of Biology, Faculty of Sciences, Kyushu University, 819-0395, Fukuoka, Japan
246 PRESTO, JST, 332-0012, Saitama, Japan
247 rdf:type schema:Organization
 




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


...