Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy.
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| Title: | Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy. |
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| Authors: | Benfenati E; Department of Environmental and Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, Milano, Italy. Electronic address: emilio.benfenati@marionegri.it., Chaudhry Q; University of Chester, Parkgate Road, Chester CH1 4BJ, United Kingdom., Gini G; Politecnico di Milano, piazza L. da Vinci 32, Milano, Italy., Dorne JL; Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Via Carlo Magno 1A, Parma, Italy. |
| Source: | Environment international [Environ Int] 2019 Oct; Vol. 131, pp. 105060. Date of Electronic Publication: 2019 Aug 01. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Review |
| Journal Info: | Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 7807270 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6750 (Electronic) Linking ISSN: 01604120 NLM ISO Abbreviation: Environ Int Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 31377600 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Benfenati+E%22">Benfenati E</searchLink>; Department of Environmental and Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via La Masa 19, Milano, Italy. Electronic address: emilio.benfenati@marionegri.it.<br /><searchLink fieldCode="AU" term="%22Chaudhry+Q%22">Chaudhry Q</searchLink>; University of Chester, Parkgate Road, Chester CH1 4BJ, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Gini+G%22">Gini G</searchLink>; Politecnico di Milano, piazza L. da Vinci 32, Milano, Italy.<br /><searchLink fieldCode="AU" term="%22Dorne+JL%22">Dorne JL</searchLink>; Scientific Committee and Emerging Risks Unit, European Food Safety Authority, Via Carlo Magno 1A, Parma, Italy. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%227807270%22">Environment international</searchLink> [Environ Int] 2019 Oct; Vol. 131, pp. 105060. <i>Date of Electronic Publication: </i>2019 Aug 01. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Science%22">Elsevier Science </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>7807270 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1873-6750 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2201604120%22">01604120 </searchLink><i>NLM ISO Abbreviation: </i>Environ Int <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31377600 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.envint.2019.105060 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 105060 Titles: – TitleFull: Integrating in silico models and read-across methods for predicting toxicity of chemicals: A step-wise strategy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Benfenati E – PersonEntity: Name: NameFull: Chaudhry Q – PersonEntity: Name: NameFull: Gini G – PersonEntity: Name: NameFull: Dorne JL IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2019 Oct Type: published Y: 2019 Identifiers: – Type: issn-electronic Value: 1873-6750 Numbering: – Type: volume Value: 131 Titles: – TitleFull: Environment international Type: main |
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