Biphasic toxicodynamic features of some antimicrobial agents on microbial growth: a dynamic mathematical model and its implications on hormesis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2010-12

AUTHORS

Miguel A Murado, José A Vázquez

ABSTRACT

BACKGROUND: In the present work, we describe a group of anomalous dose-response (DR) profiles and develop a dynamic model that is able to explain them. Responses were obtained from conventional assays of three antimicrobial agents (nisin, pediocin and phenol) against two microorganisms (Carnobacterium piscicola and Leuconostoc mesenteroides). RESULTS: Some of these anomalous profiles show biphasic trends which are usually attributed to hormetic responses. But they can also be explained as the result of the time-course of the response from a microbial population with a bimodal distribution of sensitivity to an effector, and there is evidence suggesting this last origin. In light of interest in the hormetic phenomenology and the possibility of confusing it with other phenomena, especially in the bioassay of complex materials we try to define some criteria which allow us to distinguish between sensu stricto hormesis and biphasic responses due to other causes. Finally, we discuss some problems concerning the metric of the dose in connection with the exposure time, and we make a cautionary suggestion about the use of bacteriocins as antimicrobial agents. CONCLUSIONS: The mathematical model proposed, which combines the basis of DR theory with microbial growth kinetics, can generate and explain all types of anomalous experimental profiles. These profiles could also be described in a simpler way by means of bisigmoidal equations. Such equations could be successfully used in a microbiology and toxicology context to discriminate between hormesis and other biphasic phenomena. More... »

PAGES

220

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1471-2180-10-220

DOI

http://dx.doi.org/10.1186/1471-2180-10-220

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1017378003

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20723220


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/2008/0605", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Microbiology", 
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anti-Infective Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carnobacterium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dose-Response Relationship, Drug", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leuconostoc", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Theoretical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Nisin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Phenol", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Grupo de Reciclado y Valorizaci\u00f3n de Materiales Residuales (REVAL) Instituto de Investigaci\u00f3ns Mari\u00f1as (CSIC) r/Eduardo Cabello, 6. Vigo-36208, Galicia, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Murado", 
        "givenName": "Miguel A", 
        "id": "sg:person.01342261126.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342261126.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Grupo de Reciclado y Valorizaci\u00f3n de Materiales Residuales (REVAL) Instituto de Investigaci\u00f3ns Mari\u00f1as (CSIC) r/Eduardo Cabello, 6. Vigo-36208, Galicia, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "V\u00e1zquez", 
        "givenName": "Jos\u00e9 A", 
        "id": "sg:person.015356637400.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015356637400.30"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1080/10807030500430625", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000155553"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002530051060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004273165", 
          "https://doi.org/10.1007/s002530051060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.fct.2008.04.020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007621758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/421691a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007643563", 
          "https://doi.org/10.1038/421691a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.hal.2007.09.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009515887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.taap.2007.02.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012913442"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2672.2000.01010.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016489538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10408440590917062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017992946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2672.1999.00942.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020954201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.aquaculture.2004.12.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028146708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jctb.1789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031378509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/096032700678815594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035427177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/096032700678815594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035427177"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0141-0229(02)00109-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035575883"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/toxsci/71.2.246", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039585175"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jbiotec.2004.04.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039733501"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.taap.2004.06.023", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039785907"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.taap.2005.11.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040628183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/toxsci/62.2.330", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041095029"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jtbi.2006.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041661640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.taap.2004.11.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045913206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1038/sj.embor.7400222", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052457976"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1099-1263(200003/04)20:2<113::aid-jat641>3.0.co;2-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053253313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/0960327102ht217oa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064153309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/0960327102ht217oa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064153309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/0960327104ht483oa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064153454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1191/0960327104ht483oa", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064153454"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2010-12", 
    "datePublishedReg": "2010-12-01", 
    "description": "BACKGROUND: In the present work, we describe a group of anomalous dose-response (DR) profiles and develop a dynamic model that is able to explain them. Responses were obtained from conventional assays of three antimicrobial agents (nisin, pediocin and phenol) against two microorganisms (Carnobacterium piscicola and Leuconostoc mesenteroides).\nRESULTS: Some of these anomalous profiles show biphasic trends which are usually attributed to hormetic responses. But they can also be explained as the result of the time-course of the response from a microbial population with a bimodal distribution of sensitivity to an effector, and there is evidence suggesting this last origin. In light of interest in the hormetic phenomenology and the possibility of confusing it with other phenomena, especially in the bioassay of complex materials we try to define some criteria which allow us to distinguish between sensu stricto hormesis and biphasic responses due to other causes. Finally, we discuss some problems concerning the metric of the dose in connection with the exposure time, and we make a cautionary suggestion about the use of bacteriocins as antimicrobial agents.\nCONCLUSIONS: The mathematical model proposed, which combines the basis of DR theory with microbial growth kinetics, can generate and explain all types of anomalous experimental profiles. These profiles could also be described in a simpler way by means of bisigmoidal equations. Such equations could be successfully used in a microbiology and toxicology context to discriminate between hormesis and other biphasic phenomena.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1471-2180-10-220", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024253", 
        "issn": [
          "1471-2180"
        ], 
        "name": "BMC Microbiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "10"
      }
    ], 
    "name": "Biphasic toxicodynamic features of some antimicrobial agents on microbial growth: a dynamic mathematical model and its implications on hormesis", 
    "pagination": "220", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "52cb90fe6b302d00742d2dc817e8b053f2a8729921dede0a2761978cdb0dcdcc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20723220"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100966981"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1471-2180-10-220"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1017378003"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1471-2180-10-220", 
      "https://app.dimensions.ai/details/publication/pub.1017378003"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:14", 
    "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_8695_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1471-2180-10-220"
  }
]
 

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.10.1186/1471-2180-10-220'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2180-10-220'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2180-10-220'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2180-10-220'


 

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

186 TRIPLES      21 PREDICATES      62 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1471-2180-10-220 schema:about N0e06c2327c1542d9a985e51a1ded5362
2 N1906341f85cc4e7385fd075dfdb6cda5
3 N74502d6bc6f541fcbc4ea54f3ec9ceb7
4 Na326a022d73843ecbe741b30df5fb245
5 Na8b2dc0110ec496d811501ca2d8f00f7
6 Nba5400d230e14297aad782d003fa2776
7 Nd99c63963d934d39bb719e753099a27d
8 Nf75c2df524ab467eadbad10f87bcb206
9 Nffdf2c374d224e29b154217d05b99287
10 anzsrc-for:06
11 anzsrc-for:0605
12 schema:author N662efe42466c475a94e9b6eb6d4a02cc
13 schema:citation sg:pub.10.1007/s002530051060
14 sg:pub.10.1038/421691a
15 https://doi.org/10.1002/(sici)1099-1263(200003/04)20:2<113::aid-jat641>3.0.co;2-9
16 https://doi.org/10.1002/jctb.1789
17 https://doi.org/10.1016/j.aquaculture.2004.12.008
18 https://doi.org/10.1016/j.fct.2008.04.020
19 https://doi.org/10.1016/j.hal.2007.09.001
20 https://doi.org/10.1016/j.jbiotec.2004.04.011
21 https://doi.org/10.1016/j.jtbi.2006.09.002
22 https://doi.org/10.1016/j.taap.2004.06.023
23 https://doi.org/10.1016/j.taap.2004.11.015
24 https://doi.org/10.1016/j.taap.2005.11.004
25 https://doi.org/10.1016/j.taap.2007.02.015
26 https://doi.org/10.1016/s0141-0229(02)00109-6
27 https://doi.org/10.1038/sj.embor.7400222
28 https://doi.org/10.1046/j.1365-2672.1999.00942.x
29 https://doi.org/10.1046/j.1365-2672.2000.01010.x
30 https://doi.org/10.1080/10408440590917062
31 https://doi.org/10.1080/10807030500430625
32 https://doi.org/10.1093/toxsci/62.2.330
33 https://doi.org/10.1093/toxsci/71.2.246
34 https://doi.org/10.1191/096032700678815594
35 https://doi.org/10.1191/0960327102ht217oa
36 https://doi.org/10.1191/0960327104ht483oa
37 schema:datePublished 2010-12
38 schema:datePublishedReg 2010-12-01
39 schema:description BACKGROUND: In the present work, we describe a group of anomalous dose-response (DR) profiles and develop a dynamic model that is able to explain them. Responses were obtained from conventional assays of three antimicrobial agents (nisin, pediocin and phenol) against two microorganisms (Carnobacterium piscicola and Leuconostoc mesenteroides). RESULTS: Some of these anomalous profiles show biphasic trends which are usually attributed to hormetic responses. But they can also be explained as the result of the time-course of the response from a microbial population with a bimodal distribution of sensitivity to an effector, and there is evidence suggesting this last origin. In light of interest in the hormetic phenomenology and the possibility of confusing it with other phenomena, especially in the bioassay of complex materials we try to define some criteria which allow us to distinguish between sensu stricto hormesis and biphasic responses due to other causes. Finally, we discuss some problems concerning the metric of the dose in connection with the exposure time, and we make a cautionary suggestion about the use of bacteriocins as antimicrobial agents. CONCLUSIONS: The mathematical model proposed, which combines the basis of DR theory with microbial growth kinetics, can generate and explain all types of anomalous experimental profiles. These profiles could also be described in a simpler way by means of bisigmoidal equations. Such equations could be successfully used in a microbiology and toxicology context to discriminate between hormesis and other biphasic phenomena.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree true
43 schema:isPartOf N146fc56e269746b585b5c08e73b58455
44 N850533acbfb4409580f859fa12efff14
45 sg:journal.1024253
46 schema:name Biphasic toxicodynamic features of some antimicrobial agents on microbial growth: a dynamic mathematical model and its implications on hormesis
47 schema:pagination 220
48 schema:productId N0f450f938b974c1fbba9a97d72de1996
49 N23a9ff239c894d77b6d640d97d2d7272
50 N7680d74881444a1ca18400fdd7e677cf
51 N80b1fe722e374bffaf8593b83d620c59
52 Ne49e63e16d884f45b63c380e634fd6cc
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017378003
54 https://doi.org/10.1186/1471-2180-10-220
55 schema:sdDatePublished 2019-04-11T00:14
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher N7ee83aaf42cd41d78e2475637f9e978f
58 schema:url http://link.springer.com/10.1186%2F1471-2180-10-220
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N0e06c2327c1542d9a985e51a1ded5362 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name Nisin
64 rdf:type schema:DefinedTerm
65 N0f450f938b974c1fbba9a97d72de1996 schema:name doi
66 schema:value 10.1186/1471-2180-10-220
67 rdf:type schema:PropertyValue
68 N146fc56e269746b585b5c08e73b58455 schema:volumeNumber 10
69 rdf:type schema:PublicationVolume
70 N1906341f85cc4e7385fd075dfdb6cda5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Time Factors
72 rdf:type schema:DefinedTerm
73 N23a9ff239c894d77b6d640d97d2d7272 schema:name pubmed_id
74 schema:value 20723220
75 rdf:type schema:PropertyValue
76 N421c0a0e85b84e3e928cc7a66023652f schema:name Grupo de Reciclado y Valorización de Materiales Residuales (REVAL) Instituto de Investigacións Mariñas (CSIC) r/Eduardo Cabello, 6. Vigo-36208, Galicia, Spain
77 rdf:type schema:Organization
78 N662efe42466c475a94e9b6eb6d4a02cc rdf:first sg:person.01342261126.57
79 rdf:rest Nb5c939c40be74338a7f158df75840238
80 N74502d6bc6f541fcbc4ea54f3ec9ceb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Carnobacterium
82 rdf:type schema:DefinedTerm
83 N7680d74881444a1ca18400fdd7e677cf schema:name nlm_unique_id
84 schema:value 100966981
85 rdf:type schema:PropertyValue
86 N7ee83aaf42cd41d78e2475637f9e978f schema:name Springer Nature - SN SciGraph project
87 rdf:type schema:Organization
88 N80b1fe722e374bffaf8593b83d620c59 schema:name dimensions_id
89 schema:value pub.1017378003
90 rdf:type schema:PropertyValue
91 N850533acbfb4409580f859fa12efff14 schema:issueNumber 1
92 rdf:type schema:PublicationIssue
93 Na326a022d73843ecbe741b30df5fb245 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Phenol
95 rdf:type schema:DefinedTerm
96 Na8b2dc0110ec496d811501ca2d8f00f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Models, Theoretical
98 rdf:type schema:DefinedTerm
99 Nb5c939c40be74338a7f158df75840238 rdf:first sg:person.015356637400.30
100 rdf:rest rdf:nil
101 Nba5400d230e14297aad782d003fa2776 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Leuconostoc
103 rdf:type schema:DefinedTerm
104 Nc1d732b521914efc918bd545422c8e44 schema:name Grupo de Reciclado y Valorización de Materiales Residuales (REVAL) Instituto de Investigacións Mariñas (CSIC) r/Eduardo Cabello, 6. Vigo-36208, Galicia, Spain
105 rdf:type schema:Organization
106 Nd99c63963d934d39bb719e753099a27d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Models, Biological
108 rdf:type schema:DefinedTerm
109 Ne49e63e16d884f45b63c380e634fd6cc schema:name readcube_id
110 schema:value 52cb90fe6b302d00742d2dc817e8b053f2a8729921dede0a2761978cdb0dcdcc
111 rdf:type schema:PropertyValue
112 Nf75c2df524ab467eadbad10f87bcb206 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Anti-Infective Agents
114 rdf:type schema:DefinedTerm
115 Nffdf2c374d224e29b154217d05b99287 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Dose-Response Relationship, Drug
117 rdf:type schema:DefinedTerm
118 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
119 schema:name Biological Sciences
120 rdf:type schema:DefinedTerm
121 anzsrc-for:0605 schema:inDefinedTermSet anzsrc-for:
122 schema:name Microbiology
123 rdf:type schema:DefinedTerm
124 sg:journal.1024253 schema:issn 1471-2180
125 schema:name BMC Microbiology
126 rdf:type schema:Periodical
127 sg:person.01342261126.57 schema:affiliation N421c0a0e85b84e3e928cc7a66023652f
128 schema:familyName Murado
129 schema:givenName Miguel A
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01342261126.57
131 rdf:type schema:Person
132 sg:person.015356637400.30 schema:affiliation Nc1d732b521914efc918bd545422c8e44
133 schema:familyName Vázquez
134 schema:givenName José A
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015356637400.30
136 rdf:type schema:Person
137 sg:pub.10.1007/s002530051060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004273165
138 https://doi.org/10.1007/s002530051060
139 rdf:type schema:CreativeWork
140 sg:pub.10.1038/421691a schema:sameAs https://app.dimensions.ai/details/publication/pub.1007643563
141 https://doi.org/10.1038/421691a
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1002/(sici)1099-1263(200003/04)20:2<113::aid-jat641>3.0.co;2-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053253313
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1002/jctb.1789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031378509
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.aquaculture.2004.12.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028146708
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.fct.2008.04.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007621758
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/j.hal.2007.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009515887
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/j.jbiotec.2004.04.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039733501
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1016/j.jtbi.2006.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041661640
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1016/j.taap.2004.06.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039785907
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1016/j.taap.2004.11.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045913206
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.taap.2005.11.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040628183
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.taap.2007.02.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012913442
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/s0141-0229(02)00109-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035575883
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1038/sj.embor.7400222 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052457976
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1046/j.1365-2672.1999.00942.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020954201
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1046/j.1365-2672.2000.01010.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016489538
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1080/10408440590917062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017992946
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1080/10807030500430625 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000155553
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1093/toxsci/62.2.330 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041095029
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1093/toxsci/71.2.246 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039585175
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1191/096032700678815594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035427177
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1191/0960327102ht217oa schema:sameAs https://app.dimensions.ai/details/publication/pub.1064153309
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1191/0960327104ht483oa schema:sameAs https://app.dimensions.ai/details/publication/pub.1064153454
186 rdf:type schema:CreativeWork
 




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


...