Evolutionary Approach of Intrinsically Disordered CIP/KIP Proteins View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Muhamad Fahmi, Masahiro Ito

ABSTRACT

The mammalian CIP/KIP family proteins are intrinsically disordered proteins (IDPs) that can regulate various cellular processes. However, many reports have shown that IDPs generally evolve more rapidly than ordered proteins. Here, to elucidate the functional adaptability of CIP/KIP proteins in vertebrate, we analysed the rates of evolution in relation to their structural and sequence properties and predicted the post-translational modification based on the sequence data. The results showed that CIP/KIP proteins generally could maintain their function through evolution in the vertebrate. Basically, the disordered region that acts as a flexible linker or spacer has a conserved propensity for structural disorder and a persistent, fast rate of amino acid substitution, which could result in a significantly faster rate of evolution compared to the ordered proteins. Describing the pattern of structural order-disorder evolution, this study may give an insight into the well-known characteristics of IDPs in the evolution of CIP/KIP proteins. More... »

PAGES

1575

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-37917-5

DOI

http://dx.doi.org/10.1038/s41598-018-37917-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111979639

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30733475


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": "Ritsumeikan University", 
          "id": "https://www.grid.ac/institutes/grid.262576.2", 
          "name": [
            "Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, 525-8577, Shiga, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fahmi", 
        "givenName": "Muhamad", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ritsumeikan University", 
          "id": "https://www.grid.ac/institutes/grid.262576.2", 
          "name": [
            "Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, 525-8577, Shiga, Japan", 
            "Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, 525-8577, Shiga, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ito", 
        "givenName": "Masahiro", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/1097-0134(20001115)41:3<415::aid-prot130>3.0.co;2-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000807177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m309421200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000901818"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btm035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002073486"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/mcb.25.16.7364-7374.2005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002683840"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkf436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003376662"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0134(20010101)42:1<38::aid-prot50>3.0.co;2-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003424819"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibs.2005.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004505010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibs.2005.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004505010"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.10018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005345208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jmbi.1999.3310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007216874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molcel.2005.09.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007456186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbapap.2013.01.012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007774479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cbic.200300649", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008504114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.7.3026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008727727"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/382325a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009765412", 
          "https://doi.org/10.1038/382325a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0092-8674(00)81347-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011350222"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.1004721", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011358064"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/aob/mcq243", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011650267"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/molbev/msw054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012564990"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1831009100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012992009"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi012159+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013357713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/bi012159+", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013357713"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-2836(05)80360-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013618994"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbi.2011.02.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014981722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.tibs.2007.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015055706"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(94)90573-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015252677"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bst20120108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016275958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1042/bst20120108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016275958"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.21.11504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020210779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.090465597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021082926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkv332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026513014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/jbc.m609944200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026771169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.devcel.2008.01.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026963139"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-08-0634", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026963433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jmb.2005.08.074", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027433608"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027874722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.13.12.1501", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029101666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1755-0998.2011.03021.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029106431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pro.2207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029673921"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.4.1392", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032674049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btq549", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033724079"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0151961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033749987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0151961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033749987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/18.suppl_1.s71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034246071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(93)90499-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034836400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0955-0674(93)90081-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036060907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1163581", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036767700"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gki025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038073766"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0092-8674(93)90500-p", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038576682"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1521-1878(199812)20:12<1020::aid-bies8>3.0.co;2-d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040806491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-9-s2-s1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041073895", 
          "https://doi.org/10.1186/1471-2164-9-s2-s1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1521-1878(199803)20:3<195::aid-bies2>3.0.co;2-r", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041335176"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/cr400525m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045555124"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00239-001-2309-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046734838", 
          "https://doi.org/10.1007/s00239-001-2309-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/sysbio/sys029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049138722"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nsmb746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049901509", 
          "https://doi.org/10.1038/nsmb746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nsmb746", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049901509", 
          "https://doi.org/10.1038/nsmb746"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.sbi.2015.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052142728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkw290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052513774"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.8.1.9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052772922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1021/acs.biochem.5b00241", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1055080918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/8.3.275", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059414153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.2.4.433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072296792"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.23883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072297086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/cc.5.12.2863", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072298490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074726146", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074787344", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082888485", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/gce.2010.5676129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1094315180"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "The mammalian CIP/KIP family proteins are intrinsically disordered proteins (IDPs) that can regulate various cellular processes. However, many reports have shown that IDPs generally evolve more rapidly than ordered proteins. Here, to elucidate the functional adaptability of CIP/KIP proteins in vertebrate, we analysed the rates of evolution in relation to their structural and sequence properties and predicted the post-translational modification based on the sequence data. The results showed that CIP/KIP proteins generally could maintain their function through evolution in the vertebrate. Basically, the disordered region that acts as a flexible linker or spacer has a conserved propensity for structural disorder and a persistent, fast rate of amino acid substitution, which could result in a significantly faster rate of evolution compared to the ordered proteins. Describing the pattern of structural order-disorder evolution, this study may give an insight into the well-known characteristics of IDPs in the evolution of CIP/KIP proteins.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s41598-018-37917-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "9"
      }
    ], 
    "name": "Evolutionary Approach of Intrinsically Disordered CIP/KIP Proteins", 
    "pagination": "1575", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "cbc77da4379434c4325670fed486277ea6ae66004a1643302383cccef32a514e"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30733475"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101563288"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41598-018-37917-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111979639"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41598-018-37917-5", 
      "https://app.dimensions.ai/details/publication/pub.1111979639"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:04", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000334_0000000334/records_127803_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s41598-018-37917-5"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37917-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37917-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37917-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37917-5'


 

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

267 TRIPLES      21 PREDICATES      93 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41598-018-37917-5 schema:about anzsrc-for:06
2 anzsrc-for:0601
3 schema:author N487691f0e876484ab785fc2e2a147ffb
4 schema:citation sg:pub.10.1007/s00239-001-2309-6
5 sg:pub.10.1038/382325a0
6 sg:pub.10.1038/nsmb746
7 sg:pub.10.1186/1471-2164-9-s2-s1
8 https://app.dimensions.ai/details/publication/pub.1074726146
9 https://app.dimensions.ai/details/publication/pub.1074787344
10 https://app.dimensions.ai/details/publication/pub.1082888485
11 https://doi.org/10.1002/(sici)1521-1878(199803)20:3<195::aid-bies2>3.0.co;2-r
12 https://doi.org/10.1002/(sici)1521-1878(199812)20:12<1020::aid-bies8>3.0.co;2-d
13 https://doi.org/10.1002/1097-0134(20001115)41:3<415::aid-prot130>3.0.co;2-7
14 https://doi.org/10.1002/1097-0134(20010101)42:1<38::aid-prot50>3.0.co;2-3
15 https://doi.org/10.1002/cbic.200300649
16 https://doi.org/10.1002/pro.2207
17 https://doi.org/10.1002/prot.10018
18 https://doi.org/10.1006/jmbi.1999.3310
19 https://doi.org/10.1016/0092-8674(93)90499-g
20 https://doi.org/10.1016/0092-8674(93)90500-p
21 https://doi.org/10.1016/0092-8674(94)90573-8
22 https://doi.org/10.1016/0955-0674(93)90081-z
23 https://doi.org/10.1016/j.bbapap.2013.01.012
24 https://doi.org/10.1016/j.devcel.2008.01.013
25 https://doi.org/10.1016/j.jmb.2005.08.074
26 https://doi.org/10.1016/j.molcel.2005.09.003
27 https://doi.org/10.1016/j.sbi.2011.02.005
28 https://doi.org/10.1016/j.sbi.2015.08.009
29 https://doi.org/10.1016/j.tibs.2005.09.005
30 https://doi.org/10.1016/j.tibs.2007.10.003
31 https://doi.org/10.1016/s0022-2836(05)80360-2
32 https://doi.org/10.1016/s0092-8674(00)81347-1
33 https://doi.org/10.1021/acs.biochem.5b00241
34 https://doi.org/10.1021/bi012159+
35 https://doi.org/10.1021/cr400525m
36 https://doi.org/10.1042/bst20120108
37 https://doi.org/10.1073/pnas.090465597
38 https://doi.org/10.1073/pnas.1831009100
39 https://doi.org/10.1073/pnas.93.21.11504
40 https://doi.org/10.1073/pnas.93.7.3026
41 https://doi.org/10.1073/pnas.95.4.1392
42 https://doi.org/10.1074/jbc.m309421200
43 https://doi.org/10.1074/jbc.m609944200
44 https://doi.org/10.1093/aob/mcq243
45 https://doi.org/10.1093/bioinformatics/18.suppl_1.s71
46 https://doi.org/10.1093/bioinformatics/8.3.275
47 https://doi.org/10.1093/bioinformatics/bti541
48 https://doi.org/10.1093/bioinformatics/btm035
49 https://doi.org/10.1093/bioinformatics/btq549
50 https://doi.org/10.1093/molbev/msw054
51 https://doi.org/10.1093/nar/gkf436
52 https://doi.org/10.1093/nar/gki025
53 https://doi.org/10.1093/nar/gkv332
54 https://doi.org/10.1093/nar/gkw290
55 https://doi.org/10.1093/sysbio/sys029
56 https://doi.org/10.1101/gad.13.12.1501
57 https://doi.org/10.1101/gad.8.1.9
58 https://doi.org/10.1109/gce.2010.5676129
59 https://doi.org/10.1111/j.1755-0998.2011.03021.x
60 https://doi.org/10.1126/science.1163581
61 https://doi.org/10.1128/mcb.25.16.7364-7374.2005
62 https://doi.org/10.1158/0008-5472.can-08-0634
63 https://doi.org/10.1371/journal.pgen.1004721
64 https://doi.org/10.1371/journal.pone.0151961
65 https://doi.org/10.4161/cc.2.4.433
66 https://doi.org/10.4161/cc.23883
67 https://doi.org/10.4161/cc.5.12.2863
68 schema:datePublished 2019-12
69 schema:datePublishedReg 2019-12-01
70 schema:description The mammalian CIP/KIP family proteins are intrinsically disordered proteins (IDPs) that can regulate various cellular processes. However, many reports have shown that IDPs generally evolve more rapidly than ordered proteins. Here, to elucidate the functional adaptability of CIP/KIP proteins in vertebrate, we analysed the rates of evolution in relation to their structural and sequence properties and predicted the post-translational modification based on the sequence data. The results showed that CIP/KIP proteins generally could maintain their function through evolution in the vertebrate. Basically, the disordered region that acts as a flexible linker or spacer has a conserved propensity for structural disorder and a persistent, fast rate of amino acid substitution, which could result in a significantly faster rate of evolution compared to the ordered proteins. Describing the pattern of structural order-disorder evolution, this study may give an insight into the well-known characteristics of IDPs in the evolution of CIP/KIP proteins.
71 schema:genre research_article
72 schema:inLanguage en
73 schema:isAccessibleForFree true
74 schema:isPartOf N2fc4662817a3479c87e0401677d85874
75 Nc2807bc429f24c9dab27f8ebe4a3ca6d
76 sg:journal.1045337
77 schema:name Evolutionary Approach of Intrinsically Disordered CIP/KIP Proteins
78 schema:pagination 1575
79 schema:productId N121abe561ee6468593ec847030c78936
80 N21200f5947194107ba3403f7262b0b9a
81 N3840f00b5c644d0e98714ca94259577b
82 N60ffd39e3ca54b3daf74c0cce50087ae
83 Nfbf0b372fb324a29a45a8fd5a05a6e46
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111979639
85 https://doi.org/10.1038/s41598-018-37917-5
86 schema:sdDatePublished 2019-04-11T09:04
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher N1ba81f9f2118453abb5bc1df0dc3f977
89 schema:url https://www.nature.com/articles/s41598-018-37917-5
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N121abe561ee6468593ec847030c78936 schema:name pubmed_id
94 schema:value 30733475
95 rdf:type schema:PropertyValue
96 N1ba81f9f2118453abb5bc1df0dc3f977 schema:name Springer Nature - SN SciGraph project
97 rdf:type schema:Organization
98 N21200f5947194107ba3403f7262b0b9a schema:name nlm_unique_id
99 schema:value 101563288
100 rdf:type schema:PropertyValue
101 N2fc4662817a3479c87e0401677d85874 schema:volumeNumber 9
102 rdf:type schema:PublicationVolume
103 N3840f00b5c644d0e98714ca94259577b schema:name doi
104 schema:value 10.1038/s41598-018-37917-5
105 rdf:type schema:PropertyValue
106 N487691f0e876484ab785fc2e2a147ffb rdf:first Nb892705ea5f64a52b52a7b37e9a3241a
107 rdf:rest Ndbc0c341a9c84c8bae38fa5fd08986e5
108 N60ffd39e3ca54b3daf74c0cce50087ae schema:name readcube_id
109 schema:value cbc77da4379434c4325670fed486277ea6ae66004a1643302383cccef32a514e
110 rdf:type schema:PropertyValue
111 Nb892705ea5f64a52b52a7b37e9a3241a schema:affiliation https://www.grid.ac/institutes/grid.262576.2
112 schema:familyName Fahmi
113 schema:givenName Muhamad
114 rdf:type schema:Person
115 Nc2807bc429f24c9dab27f8ebe4a3ca6d schema:issueNumber 1
116 rdf:type schema:PublicationIssue
117 Ndbc0c341a9c84c8bae38fa5fd08986e5 rdf:first Ne7425f60e17c44969ac35899f5bf8c02
118 rdf:rest rdf:nil
119 Ne7425f60e17c44969ac35899f5bf8c02 schema:affiliation https://www.grid.ac/institutes/grid.262576.2
120 schema:familyName Ito
121 schema:givenName Masahiro
122 rdf:type schema:Person
123 Nfbf0b372fb324a29a45a8fd5a05a6e46 schema:name dimensions_id
124 schema:value pub.1111979639
125 rdf:type schema:PropertyValue
126 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
127 schema:name Biological Sciences
128 rdf:type schema:DefinedTerm
129 anzsrc-for:0601 schema:inDefinedTermSet anzsrc-for:
130 schema:name Biochemistry and Cell Biology
131 rdf:type schema:DefinedTerm
132 sg:journal.1045337 schema:issn 2045-2322
133 schema:name Scientific Reports
134 rdf:type schema:Periodical
135 sg:pub.10.1007/s00239-001-2309-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046734838
136 https://doi.org/10.1007/s00239-001-2309-6
137 rdf:type schema:CreativeWork
138 sg:pub.10.1038/382325a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009765412
139 https://doi.org/10.1038/382325a0
140 rdf:type schema:CreativeWork
141 sg:pub.10.1038/nsmb746 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049901509
142 https://doi.org/10.1038/nsmb746
143 rdf:type schema:CreativeWork
144 sg:pub.10.1186/1471-2164-9-s2-s1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041073895
145 https://doi.org/10.1186/1471-2164-9-s2-s1
146 rdf:type schema:CreativeWork
147 https://app.dimensions.ai/details/publication/pub.1074726146 schema:CreativeWork
148 https://app.dimensions.ai/details/publication/pub.1074787344 schema:CreativeWork
149 https://app.dimensions.ai/details/publication/pub.1082888485 schema:CreativeWork
150 https://doi.org/10.1002/(sici)1521-1878(199803)20:3<195::aid-bies2>3.0.co;2-r schema:sameAs https://app.dimensions.ai/details/publication/pub.1041335176
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1002/(sici)1521-1878(199812)20:12<1020::aid-bies8>3.0.co;2-d schema:sameAs https://app.dimensions.ai/details/publication/pub.1040806491
153 rdf:type schema:CreativeWork
154 https://doi.org/10.1002/1097-0134(20001115)41:3<415::aid-prot130>3.0.co;2-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000807177
155 rdf:type schema:CreativeWork
156 https://doi.org/10.1002/1097-0134(20010101)42:1<38::aid-prot50>3.0.co;2-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003424819
157 rdf:type schema:CreativeWork
158 https://doi.org/10.1002/cbic.200300649 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008504114
159 rdf:type schema:CreativeWork
160 https://doi.org/10.1002/pro.2207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029673921
161 rdf:type schema:CreativeWork
162 https://doi.org/10.1002/prot.10018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005345208
163 rdf:type schema:CreativeWork
164 https://doi.org/10.1006/jmbi.1999.3310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007216874
165 rdf:type schema:CreativeWork
166 https://doi.org/10.1016/0092-8674(93)90499-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1034836400
167 rdf:type schema:CreativeWork
168 https://doi.org/10.1016/0092-8674(93)90500-p schema:sameAs https://app.dimensions.ai/details/publication/pub.1038576682
169 rdf:type schema:CreativeWork
170 https://doi.org/10.1016/0092-8674(94)90573-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015252677
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1016/0955-0674(93)90081-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1036060907
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.bbapap.2013.01.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007774479
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.devcel.2008.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026963139
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.jmb.2005.08.074 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027433608
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.molcel.2005.09.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007456186
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.sbi.2011.02.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014981722
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.sbi.2015.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052142728
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.tibs.2005.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004505010
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.tibs.2007.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015055706
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/s0022-2836(05)80360-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013618994
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/s0092-8674(00)81347-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011350222
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1021/acs.biochem.5b00241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055080918
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1021/bi012159+ schema:sameAs https://app.dimensions.ai/details/publication/pub.1013357713
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1021/cr400525m schema:sameAs https://app.dimensions.ai/details/publication/pub.1045555124
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1042/bst20120108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016275958
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1073/pnas.090465597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021082926
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1073/pnas.1831009100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012992009
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1073/pnas.93.21.11504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020210779
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1073/pnas.93.7.3026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008727727
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1073/pnas.95.4.1392 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032674049
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1074/jbc.m309421200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000901818
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1074/jbc.m609944200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026771169
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1093/aob/mcq243 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011650267
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1093/bioinformatics/18.suppl_1.s71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034246071
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1093/bioinformatics/8.3.275 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059414153
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1093/bioinformatics/bti541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027874722
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1093/bioinformatics/btm035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002073486
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1093/bioinformatics/btq549 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033724079
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1093/molbev/msw054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012564990
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/nar/gkf436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003376662
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/nar/gki025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038073766
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/nar/gkv332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026513014
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1093/nar/gkw290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052513774
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1093/sysbio/sys029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049138722
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1101/gad.13.12.1501 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029101666
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1101/gad.8.1.9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052772922
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1109/gce.2010.5676129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1094315180
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1111/j.1755-0998.2011.03021.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029106431
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1126/science.1163581 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036767700
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1128/mcb.25.16.7364-7374.2005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002683840
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1158/0008-5472.can-08-0634 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026963433
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1371/journal.pgen.1004721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011358064
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1371/journal.pone.0151961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033749987
257 rdf:type schema:CreativeWork
258 https://doi.org/10.4161/cc.2.4.433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072296792
259 rdf:type schema:CreativeWork
260 https://doi.org/10.4161/cc.23883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072297086
261 rdf:type schema:CreativeWork
262 https://doi.org/10.4161/cc.5.12.2863 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072298490
263 rdf:type schema:CreativeWork
264 https://www.grid.ac/institutes/grid.262576.2 schema:alternateName Ritsumeikan University
265 schema:name Advanced Life Sciences Program, Graduate School of Life Sciences, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, 525-8577, Shiga, Japan
266 Department of Bioinformatics, College of Life Sciences, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, 525-8577, Shiga, Japan
267 rdf:type schema:Organization
 




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


...