Record Information |
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Version | 1.0 |
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Created at | 2022-09-06 19:41:55 UTC |
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Updated at | 2022-09-06 19:41:55 UTC |
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NP-MRD ID | NP0236726 |
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Secondary Accession Numbers | None |
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Natural Product Identification |
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Common Name | (2e)-2-{2-[(2r,3r)-3-[(3e)-4,8-dimethylnona-3,7-dien-1-yl]-3-methyloxiran-2-yl]ethyl}but-2-ene-1,4-diol |
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Description | (2E)-2-{2-[(2R,3R)-3-[(3E)-4,8-dimethylnona-3,7-dien-1-yl]-3-methyloxiran-2-yl]ethyl}but-2-ene-1,4-diol belongs to the class of organic compounds known as sesquiterpenoids. These are terpenes with three consecutive isoprene units. (2e)-2-{2-[(2r,3r)-3-[(3e)-4,8-dimethylnona-3,7-dien-1-yl]-3-methyloxiran-2-yl]ethyl}but-2-ene-1,4-diol is found in Montanoa tomentosa. It was first documented in 2022 (PMID: 36088123). Based on a literature review a significant number of articles have been published on (2E)-2-{2-[(2R,3R)-3-[(3E)-4,8-dimethylnona-3,7-dien-1-yl]-3-methyloxiran-2-yl]ethyl}but-2-ene-1,4-diol (PMID: 36088122) (PMID: 36088121) (PMID: 36088120) (PMID: 36088119). |
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Structure | CC(C)=CCC\C(C)=C\CC[C@@]1(C)O[C@@H]1CC\C(CO)=C/CO InChI=1S/C20H34O3/c1-16(2)7-5-8-17(3)9-6-13-20(4)19(23-20)11-10-18(15-22)12-14-21/h7,9,12,19,21-22H,5-6,8,10-11,13-15H2,1-4H3/b17-9+,18-12+/t19-,20-/m1/s1 |
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Synonyms | Not Available |
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Chemical Formula | C20H34O3 |
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Average Mass | 322.4890 Da |
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Monoisotopic Mass | 322.25079 Da |
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IUPAC Name | Not Available |
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Traditional Name | Not Available |
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CAS Registry Number | Not Available |
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SMILES | CC(C)=CCC\C(C)=C\CC[C@@]1(C)O[C@@H]1CC\C(CO)=C/CO |
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InChI Identifier | InChI=1S/C20H34O3/c1-16(2)7-5-8-17(3)9-6-13-20(4)19(23-20)11-10-18(15-22)12-14-21/h7,9,12,19,21-22H,5-6,8,10-11,13-15H2,1-4H3/b17-9+,18-12+/t19-,20-/m1/s1 |
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InChI Key | LFYMJFPNNFFEMZ-WWPZXGFGSA-N |
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Experimental Spectra |
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| Not Available | Predicted Spectra |
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| Spectrum Type | Description | Depositor ID | Depositor Organization | Depositor | Deposition Date | View |
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1D NMR | 13C NMR Spectrum (1D, 25 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 100 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 252 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 1000 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 50 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 200 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 75 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 300 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 101 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 400 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 126 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 500 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 151 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 600 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 176 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 700 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 201 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 800 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 226 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 900 MHz, H2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum |
| Chemical Shift Submissions |
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| Not Available | Species |
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Species of Origin | |
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Chemical Taxonomy |
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Description | Belongs to the class of organic compounds known as sesquiterpenoids. These are terpenes with three consecutive isoprene units. |
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Kingdom | Organic compounds |
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Super Class | Lipids and lipid-like molecules |
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Class | Prenol lipids |
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Sub Class | Sesquiterpenoids |
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Direct Parent | Sesquiterpenoids |
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Alternative Parents | |
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Substituents | - Sesquiterpenoid
- Fatty alcohol
- Fatty acyl
- Oxacycle
- Organoheterocyclic compound
- Ether
- Oxirane
- Dialkyl ether
- Organic oxygen compound
- Hydrocarbon derivative
- Primary alcohol
- Organooxygen compound
- Alcohol
- Aliphatic heteromonocyclic compound
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Molecular Framework | Aliphatic heteromonocyclic compounds |
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External Descriptors | Not Available |
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Physical Properties |
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State | Not Available |
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Experimental Properties | Property | Value | Reference |
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Melting Point | Not Available | Not Available | Boiling Point | Not Available | Not Available | Water Solubility | Not Available | Not Available | LogP | Not Available | Not Available |
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Predicted Properties | |
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General References | - Xu X, Rothrock MJ Jr, Reeves J, Kumar GD, Mishra A: Using E. coli population to predict foodborne pathogens in pastured poultry farms. Food Microbiol. 2022 Dec;108:104092. doi: 10.1016/j.fm.2022.104092. Epub 2022 Jul 14. [PubMed:36088123 ]
- Lanzl MI, Zwietering MH, Abee T, den Besten HMW: Combining enrichment with multiplex real-time PCR leads to faster detection and identification of Campylobacter spp. in food compared to ISO 10272-1:2017. Food Microbiol. 2022 Dec;108:104117. doi: 10.1016/j.fm.2022.104117. Epub 2022 Aug 19. [PubMed:36088122 ]
- Cacciatore FA, Maders C, Alexandre B, Barreto Pinilla CM, Brandelli A, da Silva Malheiros P: Carvacrol encapsulation into nanoparticles produced from chia and flaxseed mucilage: Characterization, stability and antimicrobial activity against Salmonella and Listeria monocytogenes. Food Microbiol. 2022 Dec;108:104116. doi: 10.1016/j.fm.2022.104116. Epub 2022 Aug 18. [PubMed:36088121 ]
- Liu X, Li Y, Micallef SA: Developmentally related and drought-induced shifts in the kale metabolome limited Salmonella enterica association, providing novel insights to enhance food safety. Food Microbiol. 2022 Dec;108:104113. doi: 10.1016/j.fm.2022.104113. Epub 2022 Aug 18. [PubMed:36088120 ]
- Dos Santos AMP, Panzenhagen P, Ferrari RG, Conte-Junior CA: Large-scale genomic analysis reveals the pESI-like megaplasmid presence in Salmonella Agona, Muenchen, Schwarzengrund, and Senftenberg. Food Microbiol. 2022 Dec;108:104112. doi: 10.1016/j.fm.2022.104112. Epub 2022 Aug 12. [PubMed:36088119 ]
- LOTUS database [Link]
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