Record Information |
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Version | 1.0 |
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Created at | 2022-09-07 05:54:34 UTC |
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Updated at | 2022-09-07 05:54:34 UTC |
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NP-MRD ID | NP0244987 |
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Secondary Accession Numbers | None |
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Natural Product Identification |
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Common Name | (1r,5r,9r)-2,10,10-trimethyl-6-methylidene-11-oxatricyclo[7.2.1.0¹,⁵]dodec-2-ene |
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Description | (1R,5R,9R)-2,10,10-trimethyl-6-methylidene-11-oxatricyclo[7.2.1.0¹,⁵]Dodec-2-ene belongs to the class of organic compounds known as oxolanes. These are organic compounds containing an oxolane (tetrahydrofuran) ring, which is a saturated aliphatic five-member ring containing one oxygen and five carbon atoms. (1r,5r,9r)-2,10,10-trimethyl-6-methylidene-11-oxatricyclo[7.2.1.0¹,⁵]dodec-2-ene is found in Mylia taylorii. It was first documented in 2022 (PMID: 36088123). Based on a literature review a significant number of articles have been published on (1R,5R,9R)-2,10,10-trimethyl-6-methylidene-11-oxatricyclo[7.2.1.0¹,⁵]Dodec-2-ene (PMID: 36088122) (PMID: 36088121) (PMID: 36088120) (PMID: 36088119) (PMID: 36088116) (PMID: 36088118). |
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Structure | CC1=CC[C@@H]2C(=C)CC[C@@H]3C[C@]12OC3(C)C InChI=1S/C15H22O/c1-10-5-7-12-9-15(16-14(12,3)4)11(2)6-8-13(10)15/h6,12-13H,1,5,7-9H2,2-4H3/t12-,13-,15+/m1/s1 |
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Synonyms | Not Available |
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Chemical Formula | C15H22O |
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Average Mass | 218.3400 Da |
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Monoisotopic Mass | 218.16707 Da |
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IUPAC Name | (1R,5R,9R)-2,10,10-trimethyl-6-methylidene-11-oxatricyclo[7.2.1.0^{1,5}]dodec-2-ene |
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Traditional Name | (1R,5R,9R)-2,10,10-trimethyl-6-methylidene-11-oxatricyclo[7.2.1.0^{1,5}]dodec-2-ene |
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CAS Registry Number | Not Available |
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SMILES | CC1=CC[C@@H]2C(=C)CC[C@@H]3C[C@]12OC3(C)C |
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InChI Identifier | InChI=1S/C15H22O/c1-10-5-7-12-9-15(16-14(12,3)4)11(2)6-8-13(10)15/h6,12-13H,1,5,7-9H2,2-4H3/t12-,13-,15+/m1/s1 |
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InChI Key | MGSOIRWVRUQEDG-NFAWXSAZSA-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 oxolanes. These are organic compounds containing an oxolane (tetrahydrofuran) ring, which is a saturated aliphatic five-member ring containing one oxygen and five carbon atoms. |
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Kingdom | Organic compounds |
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Super Class | Organoheterocyclic compounds |
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Class | Oxolanes |
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Sub Class | Not Available |
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Direct Parent | Oxolanes |
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Alternative Parents | |
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Substituents | - Oxolane
- Oxacycle
- Ether
- Dialkyl ether
- Organic oxygen compound
- Hydrocarbon derivative
- Organooxygen compound
- Aliphatic heteropolycyclic compound
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Molecular Framework | Aliphatic heteropolycyclic 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 ]
- Centeno JA, Lorenzo JM, Carballo J: Effects of autochthonous Kluyveromyces lactis and commercial Enterococcus faecium adjunct cultures on the volatile profile and the sensory characteristics of short-ripened acid-curd Cebreiro cheese. Food Microbiol. 2022 Dec;108:104101. doi: 10.1016/j.fm.2022.104101. Epub 2022 Aug 1. [PubMed:36088116 ]
- Chen J, Yang R, Wang Y, Koseki S, Fu L, Wang Y: Inhibitory effect of d-Tryptophan on the spoilage potential of Shewanella baltica and Pseudomonas fluorescens and its potential application in salmon fillet preservation. Food Microbiol. 2022 Dec;108:104104. doi: 10.1016/j.fm.2022.104104. Epub 2022 Aug 9. [PubMed:36088118 ]
- Wicaksono WA, Buko A, Kusstatscher P, Sinkkonen A, Laitinen OH, Virtanen SM, Hyoty H, Cernava T, Berg G: Modulation of the food microbiome by apple fruit processing. Food Microbiol. 2022 Dec;108:104103. doi: 10.1016/j.fm.2022.104103. Epub 2022 Aug 4. [PubMed:36088117 ]
- Jyung S, Kang JW, Kang DH: L. monocytogens exhibited less cell membrane damage, lipid peroxidation, and intracellular reactive oxygen species accumulation after plasma-activated water treatment compared to E. coli O157:H7 and S. Typhimurium. Food Microbiol. 2022 Dec;108:104098. doi: 10.1016/j.fm.2022.104098. Epub 2022 Jul 30. [PubMed:36088114 ]
- Parafati L, Restuccia C, Cirvilleri G: Efficacy and mechanism of action of food isolated yeasts in the control of Aspergillus flavus growth on pistachio nuts. Food Microbiol. 2022 Dec;108:104100. doi: 10.1016/j.fm.2022.104100. Epub 2022 Aug 6. [PubMed:36088115 ]
- LOTUS database [Link]
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