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Elyashberg M, Novitskiy IM, Bates RW, Kutateladze AG, Williams CM. Reassignment of Improbable Natural Products Identified through Chemical Principle Screening. European J Org Chem 2022. [DOI: 10.1002/ejoc.202200572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Mikhail Elyashberg
- Advanced Chemistry Development Inc. (ACD/Labs) Toronto ON, M5C 1B5 Canada
| | - Ivan M. Novitskiy
- Department of Chemistry and Biochemistry University of Denver Denver CO 80208 United States
| | - Roderick W. Bates
- Division of Chemistry and Biological Chemistry School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore 637371
| | - Andrei G. Kutateladze
- Department of Chemistry and Biochemistry University of Denver Denver CO 80208 United States
| | - Craig M. Williams
- School of Chemistry and Molecular Biosciences University of Queensland Brisbane 4072 Queensland Australia
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2
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Howarth A, Goodman JM. The DP5 probability, quantification and visualisation of structural uncertainty in single molecules. Chem Sci 2022; 13:3507-3518. [PMID: 35432857 PMCID: PMC8943899 DOI: 10.1039/d1sc04406k] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 02/24/2022] [Indexed: 12/22/2022] Open
Abstract
Whenever a new molecule is made, a chemist will justify the proposed structure by analysing the NMR spectra. The widely-used DP4 algorithm will choose the best match from a series of possibilities, but draws no conclusions from a single candidate structure. Here we present the DP5 probability, a step-change in the quantification of molecular uncertainty: given one structure and one 13C NMR spectra, DP5 gives the probability of the structure being correct. We show the DP5 probability can rapidly differentiate between structure proposals indistinguishable by NMR to an expert chemist. We also show in a number of challenging examples the DP5 probability may prevent incorrect structures being published and later reassigned. DP5 will prove extremely valuable in fields such as discovery-driven automated chemical synthesis and drug development. Alongside the DP4-AI package, DP5 can help guide synthetic chemists when resolving the most subtle structural uncertainty. The DP5 system is available at https://github.com/Goodman-lab/DP5.
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Affiliation(s)
- Alexander Howarth
- Centre for Molecular Informatics, Yusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road Cambridge CB2 1EW UK
| | - Jonathan M Goodman
- Centre for Molecular Informatics, Yusuf Hamied Department of Chemistry, University of Cambridge Lensfield Road Cambridge CB2 1EW UK
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3
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Maslovskaya LA, Savchenko AI, Krenske EH, Chow S, Holt T, Gordon VA, Reddell PW, Pierce CJ, Parsons PG, Boyle GM, Kutateladze AG, Williams CM. EBC-232 and 323: A Structural Conundrum Necessitating Unification of Five In Silico Prediction and Elucidation Methods. Chemistry 2020; 26:11862-11867. [PMID: 32864777 DOI: 10.1002/chem.202001884] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 06/08/2020] [Indexed: 12/12/2022]
Abstract
Structurally unique halimanes EBC-232 and EBC-323, isolated from the Australian rainforest plant Croton insularis, proved considerably difficult to elucidate. The two diastereomers, which consist an unusual oxo-6,7-spiro ring system fused to a dihydrofuran, were solved by unification and consultation of five in silico NMR elucidation and prediction methods [i.e., ACDLabs, olefin strain energy (OSE), DP4, DU8+ and TD DFT CD]. Structure elucidation challenges of this nature are prime test case examples for empowering future AI learning in structure elucidation.
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Affiliation(s)
- Lidia A Maslovskaya
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, 4072, Australia.,QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Brisbane, 4029, Australia
| | - Andrei I Savchenko
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, 4072, Australia
| | - Elizabeth H Krenske
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, 4072, Australia
| | - Sharon Chow
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, 4072, Australia
| | - Tina Holt
- Department of Chemistry and Biochemistry, University of Denver, Denver, CO, 80208, USA
| | - Victoria A Gordon
- EcoBiotics Limited, PO Box 1, Yungaburra, 4884, Queensland, Australia
| | - Paul W Reddell
- EcoBiotics Limited, PO Box 1, Yungaburra, 4884, Queensland, Australia
| | - Carly J Pierce
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Brisbane, 4029, Australia
| | - Peter G Parsons
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Brisbane, 4029, Australia
| | - Glen M Boyle
- QIMR Berghofer Medical Research Institute, PO Royal Brisbane Hospital, Brisbane, 4029, Australia
| | - Andrei G Kutateladze
- Department of Chemistry and Biochemistry, University of Denver, Denver, CO, 80208, USA
| | - Craig M Williams
- School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane, 4072, Australia
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De Vita S, Terracciano S, Bruno I, Chini MG. From Natural Compounds to Bioactive Molecules through NMR and
In Silico
Methodologies. European J Org Chem 2020. [DOI: 10.1002/ejoc.202000469] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Simona De Vita
- Department of Pharmacy University of Salerno Via Giovanni Paolo II, n°132 84084 Fisciano (SA) Italy
| | - Stefania Terracciano
- Department of Pharmacy University of Salerno Via Giovanni Paolo II, n°132 84084 Fisciano (SA) Italy
| | - Ines Bruno
- Department of Pharmacy University of Salerno Via Giovanni Paolo II, n°132 84084 Fisciano (SA) Italy
| | - Maria Giovanna Chini
- Department of Biosciences and Territory University of Molise C.da Fonte Lappone‐ 86090 Pesche (IS) Italy
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5
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Yang XW, Grossman RB. Revision of the Structure of Hypatulone A by NMR, Computations, and Biosynthetic Considerations. Org Lett 2020; 22:760-763. [PMID: 31908165 DOI: 10.1021/acs.orglett.9b04666] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Affiliation(s)
- Xing-Wei Yang
- State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, People’s Republic of China
| | - Robert B. Grossman
- Department of Chemistry, University of Kentucky, Lexington, Kentucky 40506-0055, United States
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