Bioactive Natural Products Identification Using Automation of Molecular Networking Software.

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Title: Bioactive Natural Products Identification Using Automation of Molecular Networking Software.
Authors: Baskiyar S; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States., Ren C; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States., Heck KL; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States., Hall AM; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States., Gulfam M; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States., Packer S; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States., Seals CD; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States., Calderón AI; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States.
Source: Journal of chemical information and modeling [J Chem Inf Model] 2022 Dec 26; Vol. 62 (24), pp. 6378-6385. Date of Electronic Publication: 2022 Aug 10.
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Baskiyar+S%22">Baskiyar S</searchLink>; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States.<br /><searchLink fieldCode="AU" term="%22Ren+C%22">Ren C</searchLink>; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States.<br /><searchLink fieldCode="AU" term="%22Heck+KL%22">Heck KL</searchLink>; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States.<br /><searchLink fieldCode="AU" term="%22Hall+AM%22">Hall AM</searchLink>; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States.<br /><searchLink fieldCode="AU" term="%22Gulfam+M%22">Gulfam M</searchLink>; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States.<br /><searchLink fieldCode="AU" term="%22Packer+S%22">Packer S</searchLink>; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States.<br /><searchLink fieldCode="AU" term="%22Seals+CD%22">Seals CD</searchLink>; Department of Computer Science and Software Engineering, Auburn University, Auburn, Alabama 36849, United States.<br /><searchLink fieldCode="AU" term="%22Calderón+AI%22">Calderón AI</searchLink>; Department of Drug Discovery and Development, Harrison College of Pharmacy, Auburn University, 3306 Walker Building, Auburn, Alabama 36849, United States.
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  Data: <searchLink fieldCode="JN" term="%22101230060%22">Journal of chemical information and modeling</searchLink> [J Chem Inf Model] 2022 Dec 26; Vol. 62 (24), pp. 6378-6385. <i>Date of Electronic Publication: </i>2022 Aug 10.
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        Value: 10.1021/acs.jcim.2c00307
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        Text: English
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      – TitleFull: Bioactive Natural Products Identification Using Automation of Molecular Networking Software.
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            NameFull: Baskiyar S
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            NameFull: Ren C
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            – D: 26
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              Text: 2022 Dec 26
              Type: published
              Y: 2022
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