Developing a mathematical method to search for latent periodicity in protein amino-acid sequences with deletions and insertions View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2015-11

AUTHORS

E. V. Korotkov, M. A. Korotkova

ABSTRACT

A mathematical method has been developed in order to search for latent periodicity in protein amino-acid and other symbolical sequences using dynamic programming and random matrices. The method allows the detection of the latent periodicity with insertions and deletions at positions that are unknown beforehand. The developed method has been applied to search for the periodicity in the amino-acid sequences of several proteins and in the euro/dollar exchange rate since 2001. The presence of a long period with insertions and deletions in amino-acid sequences is shown. The period length of seven amino acids is observed in the proteins that contain supercoiled regions (a coiled-coil structure) as well as of six, five, or more amino acids. The existence of the period length of 6 and 7 days, as well as 24 and 25 h in the analyzed financial time series is observed; note that this periodicity is detectable only for insertions and deletions. The causes that underlie the occurrence of the latent periodicity with insertions and deletions in amino-acid sequences and financial time series are discussed. More... »

PAGES

876-885

Journal

TITLE

Biophysics

ISSUE

6

VOLUME

60

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/s0006350915060159

DOI

http://dx.doi.org/10.1134/s0006350915060159

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1006578314


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/2008/0104", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Statistics", 
        "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": "Moscow Engineering Physics Institute", 
          "id": "https://www.grid.ac/institutes/grid.183446.c", 
          "name": [
            "Fundamental Bases of Biotechnology Federal Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7/1, 117312, Moscow, Russia", 
            "National Research Nuclear University, Moscow Engineering Physics Institute, Kashirskoe sh. 31, 105409, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Korotkov", 
        "givenName": "E. V.", 
        "id": "sg:person.01274151123.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274151123.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Moscow Engineering Physics Institute", 
          "id": "https://www.grid.ac/institutes/grid.183446.c", 
          "name": [
            "National Research Nuclear University, Moscow Engineering Physics Institute, Kashirskoe sh. 31, 105409, Moscow, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Korotkova", 
        "givenName": "M. A.", 
        "id": "sg:person.01127050710.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127050710.59"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ygeno.2011.06.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000387858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/eva.12178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001957932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2958.2006.05255.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002130808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0375-9601(03)00641-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004343633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0375-9601(03)00641-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004343633"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pcbi.0020114", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007828391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.dsp.2004.08.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008566786"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1748-7188-6-25", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010037303", 
          "https://doi.org/10.1186/1748-7188-6-25"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev.ph.31.030169.003331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011875920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/13.3.263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011884358"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/dnares/dsl004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019656483"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-2836(81)90087-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024589839"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cbic.200300781", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025584391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.110.079947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025978420"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkg095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027045924"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/prot.21026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027371913"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jsb.2011.08.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028056971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.compbiolchem.2014.08.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033922445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2008.07.042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033979496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7717/peerj.732", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034807620"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1107/s0907444902007849", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035004932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.60.5932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036290514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.60.5932", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036290514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/protein/15.5.353", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037926210"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-4838(94)90163-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043250190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-4838(94)90163-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043250190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1024231109360", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052064279", 
          "https://doi.org/10.1023/a:1024231109360"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1742-4658.2010.07684.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052516926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcbb.2009.69", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061540741"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1109/tcbb.2013.134", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1061541126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.2503871", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062541255"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jb.175.14.4274-4281.1993", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062721780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3367/ufnr.0170.200001c.0057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071219535"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-11", 
    "datePublishedReg": "2015-11-01", 
    "description": "A mathematical method has been developed in order to search for latent periodicity in protein amino-acid and other symbolical sequences using dynamic programming and random matrices. The method allows the detection of the latent periodicity with insertions and deletions at positions that are unknown beforehand. The developed method has been applied to search for the periodicity in the amino-acid sequences of several proteins and in the euro/dollar exchange rate since 2001. The presence of a long period with insertions and deletions in amino-acid sequences is shown. The period length of seven amino acids is observed in the proteins that contain supercoiled regions (a coiled-coil structure) as well as of six, five, or more amino acids. The existence of the period length of 6 and 7 days, as well as 24 and 25 h in the analyzed financial time series is observed; note that this periodicity is detectable only for insertions and deletions. The causes that underlie the occurrence of the latent periodicity with insertions and deletions in amino-acid sequences and financial time series are discussed.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/s0006350915060159", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1017924", 
        "issn": [
          "0006-3509", 
          "1555-6654"
        ], 
        "name": "Biophysics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "60"
      }
    ], 
    "name": "Developing a mathematical method to search for latent periodicity in protein amino-acid sequences with deletions and insertions", 
    "pagination": "876-885", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1f555065c95fbe63ba786437df5e2ebf22796de1ce771fa1ee9374c7694280b0"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/s0006350915060159"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1006578314"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/s0006350915060159", 
      "https://app.dimensions.ai/details/publication/pub.1006578314"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:12", 
    "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_8659_00000498.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/S0006350915060159"
  }
]
 

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.10.1134/s0006350915060159'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/s0006350915060159'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0006350915060159'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0006350915060159'


 

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

161 TRIPLES      21 PREDICATES      57 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/s0006350915060159 schema:about anzsrc-for:01
2 anzsrc-for:0104
3 schema:author Nc5689fb800e847f1943e605118ee05a6
4 schema:citation sg:pub.10.1023/a:1024231109360
5 sg:pub.10.1186/1748-7188-6-25
6 https://doi.org/10.1002/cbic.200300781
7 https://doi.org/10.1002/prot.21026
8 https://doi.org/10.1016/0022-2836(81)90087-5
9 https://doi.org/10.1016/0167-4838(94)90163-5
10 https://doi.org/10.1016/j.cell.2008.07.042
11 https://doi.org/10.1016/j.compbiolchem.2014.08.008
12 https://doi.org/10.1016/j.dsp.2004.08.001
13 https://doi.org/10.1016/j.jsb.2011.08.009
14 https://doi.org/10.1016/j.ygeno.2011.06.006
15 https://doi.org/10.1016/s0375-9601(03)00641-8
16 https://doi.org/10.1093/bioinformatics/13.3.263
17 https://doi.org/10.1093/dnares/dsl004
18 https://doi.org/10.1093/nar/gkg095
19 https://doi.org/10.1093/protein/15.5.353
20 https://doi.org/10.1103/physreve.60.5932
21 https://doi.org/10.1105/tpc.110.079947
22 https://doi.org/10.1107/s0907444902007849
23 https://doi.org/10.1109/tcbb.2009.69
24 https://doi.org/10.1109/tcbb.2013.134
25 https://doi.org/10.1111/eva.12178
26 https://doi.org/10.1111/j.1365-2958.2006.05255.x
27 https://doi.org/10.1111/j.1742-4658.2010.07684.x
28 https://doi.org/10.1126/science.2503871
29 https://doi.org/10.1128/jb.175.14.4274-4281.1993
30 https://doi.org/10.1146/annurev.ph.31.030169.003331
31 https://doi.org/10.1371/journal.pcbi.0020114
32 https://doi.org/10.3367/ufnr.0170.200001c.0057
33 https://doi.org/10.7717/peerj.732
34 schema:datePublished 2015-11
35 schema:datePublishedReg 2015-11-01
36 schema:description A mathematical method has been developed in order to search for latent periodicity in protein amino-acid and other symbolical sequences using dynamic programming and random matrices. The method allows the detection of the latent periodicity with insertions and deletions at positions that are unknown beforehand. The developed method has been applied to search for the periodicity in the amino-acid sequences of several proteins and in the euro/dollar exchange rate since 2001. The presence of a long period with insertions and deletions in amino-acid sequences is shown. The period length of seven amino acids is observed in the proteins that contain supercoiled regions (a coiled-coil structure) as well as of six, five, or more amino acids. The existence of the period length of 6 and 7 days, as well as 24 and 25 h in the analyzed financial time series is observed; note that this periodicity is detectable only for insertions and deletions. The causes that underlie the occurrence of the latent periodicity with insertions and deletions in amino-acid sequences and financial time series are discussed.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree false
40 schema:isPartOf N58f41456f681441f82198efa948b5045
41 Nc087f2f9faff45fe885295d5f16d4124
42 sg:journal.1017924
43 schema:name Developing a mathematical method to search for latent periodicity in protein amino-acid sequences with deletions and insertions
44 schema:pagination 876-885
45 schema:productId N39107c4697204e328ac0bcbdf7e61162
46 N759ea68917094382982dd7b13a20fdba
47 N7a69206acc744311b88f013851f20e9d
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006578314
49 https://doi.org/10.1134/s0006350915060159
50 schema:sdDatePublished 2019-04-10T13:12
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N1053b4801f6542a29fd26c49bf3f0d74
53 schema:url http://link.springer.com/10.1134/S0006350915060159
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N1053b4801f6542a29fd26c49bf3f0d74 schema:name Springer Nature - SN SciGraph project
58 rdf:type schema:Organization
59 N39107c4697204e328ac0bcbdf7e61162 schema:name readcube_id
60 schema:value 1f555065c95fbe63ba786437df5e2ebf22796de1ce771fa1ee9374c7694280b0
61 rdf:type schema:PropertyValue
62 N58f41456f681441f82198efa948b5045 schema:issueNumber 6
63 rdf:type schema:PublicationIssue
64 N759ea68917094382982dd7b13a20fdba schema:name dimensions_id
65 schema:value pub.1006578314
66 rdf:type schema:PropertyValue
67 N7a69206acc744311b88f013851f20e9d schema:name doi
68 schema:value 10.1134/s0006350915060159
69 rdf:type schema:PropertyValue
70 N8494eee2337749ef8ab23b585ea2a163 rdf:first sg:person.01127050710.59
71 rdf:rest rdf:nil
72 Nc087f2f9faff45fe885295d5f16d4124 schema:volumeNumber 60
73 rdf:type schema:PublicationVolume
74 Nc5689fb800e847f1943e605118ee05a6 rdf:first sg:person.01274151123.51
75 rdf:rest N8494eee2337749ef8ab23b585ea2a163
76 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
77 schema:name Mathematical Sciences
78 rdf:type schema:DefinedTerm
79 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
80 schema:name Statistics
81 rdf:type schema:DefinedTerm
82 sg:journal.1017924 schema:issn 0006-3509
83 1555-6654
84 schema:name Biophysics
85 rdf:type schema:Periodical
86 sg:person.01127050710.59 schema:affiliation https://www.grid.ac/institutes/grid.183446.c
87 schema:familyName Korotkova
88 schema:givenName M. A.
89 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01127050710.59
90 rdf:type schema:Person
91 sg:person.01274151123.51 schema:affiliation https://www.grid.ac/institutes/grid.183446.c
92 schema:familyName Korotkov
93 schema:givenName E. V.
94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01274151123.51
95 rdf:type schema:Person
96 sg:pub.10.1023/a:1024231109360 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052064279
97 https://doi.org/10.1023/a:1024231109360
98 rdf:type schema:CreativeWork
99 sg:pub.10.1186/1748-7188-6-25 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010037303
100 https://doi.org/10.1186/1748-7188-6-25
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1002/cbic.200300781 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025584391
103 rdf:type schema:CreativeWork
104 https://doi.org/10.1002/prot.21026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027371913
105 rdf:type schema:CreativeWork
106 https://doi.org/10.1016/0022-2836(81)90087-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024589839
107 rdf:type schema:CreativeWork
108 https://doi.org/10.1016/0167-4838(94)90163-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043250190
109 rdf:type schema:CreativeWork
110 https://doi.org/10.1016/j.cell.2008.07.042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033979496
111 rdf:type schema:CreativeWork
112 https://doi.org/10.1016/j.compbiolchem.2014.08.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033922445
113 rdf:type schema:CreativeWork
114 https://doi.org/10.1016/j.dsp.2004.08.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008566786
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/j.jsb.2011.08.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028056971
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/j.ygeno.2011.06.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000387858
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1016/s0375-9601(03)00641-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004343633
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1093/bioinformatics/13.3.263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011884358
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1093/dnares/dsl004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019656483
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1093/nar/gkg095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027045924
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1093/protein/15.5.353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037926210
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1103/physreve.60.5932 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036290514
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1105/tpc.110.079947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025978420
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1107/s0907444902007849 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035004932
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1109/tcbb.2009.69 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061540741
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1109/tcbb.2013.134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061541126
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1111/eva.12178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001957932
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1111/j.1365-2958.2006.05255.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002130808
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1111/j.1742-4658.2010.07684.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1052516926
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1126/science.2503871 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062541255
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1128/jb.175.14.4274-4281.1993 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062721780
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1146/annurev.ph.31.030169.003331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011875920
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1371/journal.pcbi.0020114 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007828391
153 rdf:type schema:CreativeWork
154 https://doi.org/10.3367/ufnr.0170.200001c.0057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071219535
155 rdf:type schema:CreativeWork
156 https://doi.org/10.7717/peerj.732 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034807620
157 rdf:type schema:CreativeWork
158 https://www.grid.ac/institutes/grid.183446.c schema:alternateName Moscow Engineering Physics Institute
159 schema:name Fundamental Bases of Biotechnology Federal Center, Russian Academy of Sciences, pr. 60-letiya Oktyabrya 7/1, 117312, Moscow, Russia
160 National Research Nuclear University, Moscow Engineering Physics Institute, Kashirskoe sh. 31, 105409, Moscow, Russia
161 rdf:type schema:Organization
 




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


...