Record Information |
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Version | 1.0 |
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Created at | 2022-09-06 08:35:48 UTC |
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Updated at | 2022-09-06 08:35:48 UTC |
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NP-MRD ID | NP0228802 |
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Secondary Accession Numbers | None |
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Natural Product Identification |
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Common Name | methyl 4-(3-acetyl-2,6-dihydroxyphenyl)-2,4-dimethoxybutanoate |
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Description | Methyl 4-(3-acetyl-2,6-dihydroxyphenyl)-2,4-dimethoxybutanoate belongs to the class of organic compounds known as alkyl-phenylketones. These are aromatic compounds containing a ketone substituted by one alkyl group, and a phenyl group. It was first documented in 2022 (PMID: 36088123). Based on a literature review a significant number of articles have been published on methyl 4-(3-acetyl-2,6-dihydroxyphenyl)-2,4-dimethoxybutanoate (PMID: 36088122) (PMID: 36088121) (PMID: 36088120) (PMID: 36088119). |
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Structure | COC(CC(OC)C1=C(O)C=CC(C(C)=O)=C1O)C(=O)OC InChI=1S/C15H20O7/c1-8(16)9-5-6-10(17)13(14(9)18)11(20-2)7-12(21-3)15(19)22-4/h5-6,11-12,17-18H,7H2,1-4H3 |
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Synonyms | Value | Source |
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Methyl 4-(3-acetyl-2,6-dihydroxyphenyl)-2,4-dimethoxybutanoic acid | Generator |
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Chemical Formula | C15H20O7 |
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Average Mass | 312.3180 Da |
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Monoisotopic Mass | 312.12090 Da |
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IUPAC Name | methyl 4-(3-acetyl-2,6-dihydroxyphenyl)-2,4-dimethoxybutanoate |
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Traditional Name | methyl 4-(3-acetyl-2,6-dihydroxyphenyl)-2,4-dimethoxybutanoate |
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CAS Registry Number | Not Available |
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SMILES | COC(CC(OC)C1=C(O)C=CC(C(C)=O)=C1O)C(=O)OC |
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InChI Identifier | InChI=1S/C15H20O7/c1-8(16)9-5-6-10(17)13(14(9)18)11(20-2)7-12(21-3)15(19)22-4/h5-6,11-12,17-18H,7H2,1-4H3 |
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InChI Key | NMXDMNJYPIEYAT-UHFFFAOYSA-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 | Not Available |
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Chemical Taxonomy |
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Description | Belongs to the class of organic compounds known as alkyl-phenylketones. These are aromatic compounds containing a ketone substituted by one alkyl group, and a phenyl group. |
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Kingdom | Organic compounds |
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Super Class | Organic oxygen compounds |
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Class | Organooxygen compounds |
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Sub Class | Carbonyl compounds |
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Direct Parent | Alkyl-phenylketones |
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Alternative Parents | |
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Substituents | - Alkyl-phenylketone
- Benzylether
- Acetophenone
- Aryl alkyl ketone
- Resorcinol
- Benzoyl
- 1-hydroxy-4-unsubstituted benzenoid
- 1-hydroxy-2-unsubstituted benzenoid
- Phenol
- Fatty acid ester
- Fatty acyl
- Benzenoid
- Monocyclic benzene moiety
- Vinylogous acid
- Methyl ester
- Carboxylic acid ester
- Monocarboxylic acid or derivatives
- Ether
- Dialkyl ether
- Carboxylic acid derivative
- Organic oxide
- Hydrocarbon derivative
- Aromatic homomonocyclic compound
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Molecular Framework | Aromatic homomonocyclic 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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