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Using Machine Learning to Predict the Antibacterial Activity of Ruthenium Complexes.

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Title: Using Machine Learning to Predict the Antibacterial Activity of Ruthenium Complexes.
Authors: Orsi M; Department of Chemistry, Biochemistry & Pharmaceutical Sciences, University of Bern, Freiestrasse 3, 3012, Bern, Switzerland., Shing Loh B; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore., Weng C; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore., Ang WH; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore.; NUS Graduate School - Integrated Science and Engineering Programme (ISEP), National University of Singapore, 21 Lower Kent Ridge Rd, Singapore, 119077, Singapore., Frei A; Department of Chemistry, Biochemistry & Pharmaceutical Sciences, University of Bern, Freiestrasse 3, 3012, Bern, Switzerland.
Source: Angewandte Chemie (International ed. in English) [Angew Chem Int Ed Engl] 2024 Mar 04; Vol. 63 (10), pp. e202317901. Date of Electronic Publication: 2024 Jan 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 0370543 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1521-3773 (Electronic) Linking ISSN: 14337851 NLM ISO Abbreviation: Angew Chem Int Ed Engl Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Using Machine Learning to Predict the Antibacterial Activity of Ruthenium Complexes.
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  Data: <searchLink fieldCode="AU" term="%22Orsi+M%22">Orsi M</searchLink>; Department of Chemistry, Biochemistry & Pharmaceutical Sciences, University of Bern, Freiestrasse 3, 3012, Bern, Switzerland.<br /><searchLink fieldCode="AU" term="%22Shing+Loh+B%22">Shing Loh B</searchLink>; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore.<br /><searchLink fieldCode="AU" term="%22Weng+C%22">Weng C</searchLink>; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore.<br /><searchLink fieldCode="AU" term="%22Ang+WH%22">Ang WH</searchLink>; Department of Chemistry, National University of Singapore, 3 Science Drive 3, Singapore, 117543, Singapore.; NUS Graduate School - Integrated Science and Engineering Programme (ISEP), National University of Singapore, 21 Lower Kent Ridge Rd, Singapore, 119077, Singapore.<br /><searchLink fieldCode="AU" term="%22Frei+A%22">Frei A</searchLink>; Department of Chemistry, Biochemistry & Pharmaceutical Sciences, University of Bern, Freiestrasse 3, 3012, Bern, Switzerland.
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  Data: <searchLink fieldCode="JN" term="%220370543%22">Angewandte Chemie (International ed. in English)</searchLink> [Angew Chem Int Ed Engl] 2024 Mar 04; Vol. 63 (10), pp. e202317901. <i>Date of Electronic Publication: </i>2024 Jan 24.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-VCH%22">Wiley-VCH </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>0370543 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1521-3773 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214337851%22">14337851 </searchLink><i>NLM ISO Abbreviation: </i>Angew Chem Int Ed Engl <i>Subsets: </i>MEDLINE
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        Value: 10.1002/anie.202317901
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