Record Information |
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Version | 2.0 |
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Created at | 2020-12-09 02:42:44 UTC |
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Updated at | 2021-07-15 16:52:08 UTC |
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NP-MRD ID | NP0005486 |
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Secondary Accession Numbers | None |
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Natural Product Identification |
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Common Name | BSM1 |
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Provided By | NPAtlas |
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Description | BSM1 belongs to the class of organic compounds known as chromones. Chromones are compounds containing a benzopyran-4-one moiety. BSM1 is found in Streptomyces and Streptomyces lividans. BSM1 was first documented in 2004 (PMID: 15332868). Based on a literature review a small amount of articles have been published on BSM1 (PMID: 33969140) (PMID: 33621190) (PMID: 33550556) (PMID: 33531141). |
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Structure | [H]OC(=O)C([H])([H])C1=C2C(=O)C([H])=C(OC2=C([H])C([H])=C1[H])C([H])([H])[H] InChI=1S/C12H10O4/c1-7-5-9(13)12-8(6-11(14)15)3-2-4-10(12)16-7/h2-5H,6H2,1H3,(H,14,15) |
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Synonyms | Value | Source |
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2-(2-Methyl-4-oxo-4H-chromen-5-yl)acetate | Generator |
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Chemical Formula | C12H10O4 |
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Average Mass | 218.2080 Da |
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Monoisotopic Mass | 218.05791 Da |
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IUPAC Name | 2-(2-methyl-4-oxo-4H-chromen-5-yl)acetic acid |
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Traditional Name | (2-methyl-4-oxochromen-5-yl)acetic acid |
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CAS Registry Number | Not Available |
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SMILES | CC1=CC(=O)C2=C(CC(O)=O)C=CC=C2O1 |
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InChI Identifier | InChI=1S/C12H10O4/c1-7-5-9(13)12-8(6-11(14)15)3-2-4-10(12)16-7/h2-5H,6H2,1H3,(H,14,15) |
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InChI Key | FDWIKIIKBRJSHK-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, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 100 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 252 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 1000 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 50 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 200 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 75 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 300 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 101 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 400 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 126 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 500 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 151 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 600 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 176 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 700 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 201 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 800 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 13C NMR Spectrum (1D, 226 MHz, D2O, predicted) | Wishart Lab | Wishart Lab | David Wishart | 2021-06-20 | View Spectrum | 1D NMR | 1H NMR Spectrum (1D, 900 MHz, D2O, 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 chromones. Chromones are compounds containing a benzopyran-4-one moiety. |
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Kingdom | Organic compounds |
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Super Class | Organoheterocyclic compounds |
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Class | Benzopyrans |
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Sub Class | 1-benzopyrans |
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Direct Parent | Chromones |
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Alternative Parents | |
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Substituents | - Chromone
- Pyranone
- Benzenoid
- Pyran
- Heteroaromatic compound
- Oxacycle
- Monocarboxylic acid or derivatives
- Carboxylic acid
- Carboxylic acid derivative
- Organic oxygen compound
- Organic oxide
- Hydrocarbon derivative
- Organooxygen compound
- Carbonyl group
- Aromatic heteropolycyclic compound
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Molecular Framework | Aromatic 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 | - Kalaitzis JA, Moore BS: Heterologous biosynthesis of truncated hexaketides derived from the actinorhodin polyketide synthase. J Nat Prod. 2004 Aug;67(8):1419-22. doi: 10.1021/np0499564. [PubMed:15332868 ]
- Arfianti A, Sabillah Sumpena A, Andrini Djojosugito F, Kartika Sari D, Julia Paulina A: Genotype Distribution of Vitamin D Receptor Polymorphisms among Indonesian Patients with Chronic Hepatitis B. Rep Biochem Mol Biol. 2021 Jan;9(4):463-469. doi: 10.52547/rbmb.9.4.463. [PubMed:33969140 ]
- Iwalokun BA, Olalekan A, Adenipekun E, Ojo O, Iwalokun SO, Mutiu B, Orija O, Adegbola R, Salako B, Akinloye O: Improving the Understanding of the Immunopathogenesis of Lymphopenia as a Correlate of SARS-CoV-2 Infection Risk and Disease Progression in African Patients: Protocol for a Cross-sectional Study. JMIR Res Protoc. 2021 Mar 4;10(3):e21242. doi: 10.2196/21242. [PubMed:33621190 ]
- Li D, Huang D, Liu Y: A novel two-step adaptive multioutput semisupervised soft sensor with applications in wastewater treatment. Environ Sci Pollut Res Int. 2021 Jun;28(23):29131-29145. doi: 10.1007/s11356-021-12656-9. Epub 2021 Feb 7. [PubMed:33550556 ]
- Cheng H, Wu J, Huang D, Liu Y, Wang Q: Robust adaptive boosted canonical correlation analysis for quality-relevant process monitoring of wastewater treatment. ISA Trans. 2021 Nov;117:210-220. doi: 10.1016/j.isatra.2021.01.039. Epub 2021 Jan 25. [PubMed:33531141 ]
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