Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning.
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| Title: | Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning. |
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| Authors: | Chebotaev PP; Faculty of Physics, Saint-Petersburg State University, Universiteteskaya Emb. 7-9, 199034 St. Petersburg, Russia. andreybuglak@gmail.com., Buglak AA; Faculty of Physics, Saint-Petersburg State University, Universiteteskaya Emb. 7-9, 199034 St. Petersburg, Russia. andreybuglak@gmail.com.; Institute of Physics, Kazan Federal University, 18 Kremlyovskaya street, 420008, Kazan, Russia., Sheehan A; School of Chemical and Biopharmaceutical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland. mikhail.filatov@tudublin.ie., Filatov MA; School of Chemical and Biopharmaceutical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland. mikhail.filatov@tudublin.ie. |
| Source: | Physical chemistry chemical physics : PCCP [Phys Chem Chem Phys] 2024 Oct 02; Vol. 26 (38), pp. 25131-25142. Date of Electronic Publication: 2024 Oct 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 100888160 Publication Model: Electronic Cited Medium: Internet ISSN: 1463-9084 (Electronic) Linking ISSN: 14639076 NLM ISO Abbreviation: Phys Chem Chem Phys Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39311461 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chebotaev+PP%22">Chebotaev PP</searchLink>; Faculty of Physics, Saint-Petersburg State University, Universiteteskaya Emb. 7-9, 199034 St. Petersburg, Russia. andreybuglak@gmail.com.<br /><searchLink fieldCode="AU" term="%22Buglak+AA%22">Buglak AA</searchLink>; Faculty of Physics, Saint-Petersburg State University, Universiteteskaya Emb. 7-9, 199034 St. Petersburg, Russia. andreybuglak@gmail.com.; Institute of Physics, Kazan Federal University, 18 Kremlyovskaya street, 420008, Kazan, Russia.<br /><searchLink fieldCode="AU" term="%22Sheehan+A%22">Sheehan A</searchLink>; School of Chemical and Biopharmaceutical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland. mikhail.filatov@tudublin.ie.<br /><searchLink fieldCode="AU" term="%22Filatov+MA%22">Filatov MA</searchLink>; School of Chemical and Biopharmaceutical Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, Ireland. mikhail.filatov@tudublin.ie. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100888160%22">Physical chemistry chemical physics : PCCP</searchLink> [Phys Chem Chem Phys] 2024 Oct 02; Vol. 26 (38), pp. 25131-25142. <i>Date of Electronic Publication: </i>2024 Oct 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Royal+Society+of+Chemistry%22">Royal Society of Chemistry </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100888160 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1463-9084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214639076%22">14639076 </searchLink><i>NLM ISO Abbreviation: </i>Phys Chem Chem Phys <i>Subsets: </i>MEDLINE; PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39311461 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1039/d4cp02471k Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 25131 Titles: – TitleFull: Predicting fluorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes using QSPR and machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chebotaev PP – PersonEntity: Name: NameFull: Buglak AA – PersonEntity: Name: NameFull: Sheehan A – PersonEntity: Name: NameFull: Filatov MA IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 10 Text: 2024 Oct 02 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1463-9084 Numbering: – Type: volume Value: 26 – Type: issue Value: 38 Titles: – TitleFull: Physical chemistry chemical physics : PCCP Type: main |
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