Beta-Naftoflavon

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Beta-Naftoflavon
Identifikacija
CAS registarski broj 6051-87-2 DaY
PubChem[1][2] 2361
ChemSpider[3] 2271 DaY
DrugBank DB06732
ChEMBL[4] CHEMBL26260 DaY
Jmol-3D slike Slika 1
Svojstva
Molekulska formula C19H12O2
Molarna masa 272.3 g mol−1

 DaY (šta je ovo?)   (verifikuj)

Ukoliko nije drugačije napomenuto, podaci se odnose na standardno stanje (25 °C, 100 kPa) materijala

Infobox references

Beta-Naftoflavon je organsko jedinjenje, koje sadrži 19 atoma ugljenika i ima molekulsku masu od 272,297 Da.[5][6][7][8]

Osobine[uredi | uredi kod]

Osobina Vrednost
Broj akceptora vodonika 2
Broj donora vodonika 0
Broj rotacionih veza 1
Particioni koeficijent[9] (ALogP) 4,0
Rastvorljivost[10] (logS, log(mol/L)) -5,4
Polarna površina[11] (PSA, Å2) 26,3

Reference[uredi | uredi kod]

  1. Li Q, Cheng T, Wang Y, Bryant SH (2010). „PubChem as a public resource for drug discovery.”. Drug Discov Today 15 (23-24): 1052-7. DOI:10.1016/j.drudis.2010.10.003. PMID 20970519.  edit
  2. Evan E. Bolton, Yanli Wang, Paul A. Thiessen, Stephen H. Bryant (2008). „Chapter 12 PubChem: Integrated Platform of Small Molecules and Biological Activities”. Annual Reports in Computational Chemistry 4: 217-241. DOI:10.1016/S1574-1400(08)00012-1. 
  3. Hettne KM, Williams AJ, van Mulligen EM, Kleinjans J, Tkachenko V, Kors JA. (2010). „Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining”. J Cheminform 2 (1): 3. DOI:10.1186/1758-2946-2-3. PMID 20331846.  edit
  4. Gaulton A, Bellis LJ, Bento AP, Chambers J, Davies M, Hersey A, Light Y, McGlinchey S, Michalovich D, Al-Lazikani B, Overington JP. (2012). „ChEMBL: a large-scale bioactivity database for drug discovery”. Nucleic Acids Res 40 (Database issue): D1100-7. DOI:10.1093/nar/gkr777. PMID 21948594.  edit
  5. Chlouchi A, Girard C, Bonet A, Viollon-Abadie C, Heyd B, Mantion G, Martin H, Richert L: Effect of chrysin and natural coumarins on UGT1A1 and 1A6 activities in rat and human hepatocytes in primary culture. Planta Med. 2007 Jul;73(8):742-7. Epub 2007 Jun 28. PMID 17599282
  6. Izzotti A, Bagnasco M, Cartiglia C, Longobardi M, Camoirano A, Tampa E, Lubet RA, De Flora S: Modulation of multigene expression and proteome profiles by chemopreventive agents. Mutat Res. 2005 Dec 11;591(1-2):212-23. Epub 2005 Aug 3. PMID 16083920
  7. Knox C, Law V, Jewison T, Liu P, Ly S, Frolkis A, Pon A, Banco K, Mak C, Neveu V, Djoumbou Y, Eisner R, Guo AC, Wishart DS (2011). „DrugBank 3.0: a comprehensive resource for omics research on drugs”. Nucleic Acids Res. 39 (Database issue): D1035-41. DOI:10.1093/nar/gkq1126. PMC 3013709. PMID 21059682. 
  8. David S. Wishart, Craig Knox, An Chi Guo, Dean Cheng, Savita Shrivastava, Dan Tzur, Bijaya Gautam, and Murtaza Hassanali (2008). „DrugBank: a knowledgebase for drugs, drug actions and drug targets”. Nucleic Acids Res 36 (Database issue): D901-6. DOI:10.1093/nar/gkm958. PMC 2238889. PMID 18048412. 
  9. Ghose, A.K., Viswanadhan V.N., and Wendoloski, J.J. (1998). „Prediction of Hydrophobic (Lipophilic) Properties of Small Organic Molecules Using Fragment Methods: An Analysis of AlogP and CLogP Methods”. J. Phys. Chem. A 102: 3762-3772. DOI:10.1021/jp980230o. 
  10. Tetko IV, Tanchuk VY, Kasheva TN, Villa AE. (2001). „Estimation of Aqueous Solubility of Chemical Compounds Using E-State Indices”. Chem Inf. Comput. Sci. 41: 1488-1493. DOI:10.1021/ci000392t. PMID 11749573. 
  11. Ertl P., Rohde B., Selzer P. (2000). „Fast calculation of molecular polar surface area as a sum of fragment based contributions and its application to the prediction of drug transport properties”. J. Med. Chem. 43: 3714-3717. DOI:10.1021/jm000942e. PMID 11020286. 

Literatura[uredi | uredi kod]

Spoljašnje veze[uredi | uredi kod]