Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data.
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| Title: | Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data. |
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| Authors: | Ciallella HL; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States., Russo DP; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.; Department of Chemistry, Rutgers University, Camden, New Jersey 08102, United States., Sharma S; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States., Li Y; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States., Sloter E; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States., Sweet L; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States., Huang H; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States., Zhu H; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.; Department of Chemistry, Rutgers University, Camden, New Jersey 08102, United States. |
| Source: | Environmental science & technology [Environ Sci Technol] 2022 May 03; Vol. 56 (9), pp. 5984-5998. Date of Electronic Publication: 2022 Apr 22. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 0213155 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5851 (Electronic) Linking ISSN: 0013936X NLM ISO Abbreviation: Environ Sci Technol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 35451820 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ciallella+HL%22">Ciallella HL</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.<br /><searchLink fieldCode="AU" term="%22Russo+DP%22">Russo DP</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.; Department of Chemistry, Rutgers University, Camden, New Jersey 08102, United States.<br /><searchLink fieldCode="AU" term="%22Sharma+S%22">Sharma S</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States.<br /><searchLink fieldCode="AU" term="%22Sloter+E%22">Sloter E</searchLink>; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States.<br /><searchLink fieldCode="AU" term="%22Sweet+L%22">Sweet L</searchLink>; The Lubrizol Corporation, Wickliffe, Ohio 44092, United States.<br /><searchLink fieldCode="AU" term="%22Huang+H%22">Huang H</searchLink>; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.<br /><searchLink fieldCode="AU" term="%22Zhu+H%22">Zhu H</searchLink>; Center for Computational and Integrative Biology, Rutgers University, Camden, New Jersey 08103, United States.; Department of Chemistry, Rutgers University, Camden, New Jersey 08102, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220213155%22">Environmental science & technology</searchLink> [Environ Sci Technol] 2022 May 03; Vol. 56 (9), pp. 5984-5998. <i>Date of Electronic Publication: </i>2022 Apr 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Chemical+Society%22">American Chemical Society </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0213155 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5851 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%220013936X%22">0013936X </searchLink><i>NLM ISO Abbreviation: </i>Environ Sci Technol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=35451820 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1021/acs.est.2c01040 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 5984 Titles: – TitleFull: Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ciallella HL – PersonEntity: Name: NameFull: Russo DP – PersonEntity: Name: NameFull: Sharma S – PersonEntity: Name: NameFull: Li Y – PersonEntity: Name: NameFull: Sloter E – PersonEntity: Name: NameFull: Sweet L – PersonEntity: Name: NameFull: Huang H – PersonEntity: Name: NameFull: Zhu H IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 05 Text: 2022 May 03 Type: published Y: 2022 Identifiers: – Type: issn-electronic Value: 1520-5851 Numbering: – Type: volume Value: 56 – Type: issue Value: 9 Titles: – TitleFull: Environmental science & technology Type: main |
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