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Predicting the quantum yield of 1O2 generation for pteridines and fluoroquinolones using machine learning.

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Title: Predicting the quantum yield of 1O2 generation for pteridines and fluoroquinolones using machine learning.
Authors: Chebotaev PP; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, 199034 Saint-Petersburg, Russia. andreybuglak@gmail.com., Buglak AA; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, 199034 Saint-Petersburg, Russia. andreybuglak@gmail.com.; Institute of Physics, Kazan Federal University, Kazan, 420008, Russia.
Source: Physical chemistry chemical physics : PCCP [Phys Chem Chem Phys] 2025 Nov 12; Vol. 27 (44), pp. 23722-23740. Date of Electronic Publication: 2025 Nov 12.
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
Database: MEDLINE Ultimate
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  Data: Predicting the quantum yield of <superscript>1</superscript>O<subscript>2</subscript> generation for pteridines and fluoroquinolones using machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Chebotaev+PP%22">Chebotaev PP</searchLink>; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, 199034 Saint-Petersburg, Russia. andreybuglak@gmail.com.<br /><searchLink fieldCode="AU" term="%22Buglak+AA%22">Buglak AA</searchLink>; Department of Molecular Biophysics and Polymer Physics, St. Petersburg State University, 199034 Saint-Petersburg, Russia. andreybuglak@gmail.com.; Institute of Physics, Kazan Federal University, Kazan, 420008, Russia.
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  Data: <searchLink fieldCode="JN" term="%22100888160%22">Physical chemistry chemical physics : PCCP</searchLink> [Phys Chem Chem Phys] 2025 Nov 12; Vol. 27 (44), pp. 23722-23740. <i>Date of Electronic Publication: </i>2025 Nov 12.
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  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
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        Value: 10.1039/d5cp02333e
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      – TitleFull: Predicting the quantum yield of 1O2 generation for pteridines and fluoroquinolones using machine learning.
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              Text: 2025 Nov 12
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