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Bioactive Natural Products Identification Using Automation of Molecular Networking Software.

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Bibliographic Details
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
Description
ISSN:1549-960X
DOI:10.1021/acs.jcim.2c00307