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Tofizopam

Izvor: Wikipedija
Tofizopam
Klinički podaci
Robne marke Emandaxin, Grandaxin, Seriel
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 22345-47-7
ATC kod N05BA23
PubChem[1][2] 5502
DrugBank DB08811
ChemSpider[3] 5301
ChEBI CHEBI:518452 DaY
ChEMBL[4] CHEMBL404216 DaY
Hemijski podaci
Formula C22H26N2O4 
Mol. masa 382,453
SMILES eMolekuli & PubHem
Fizički podaci
Tačka topljenja 156.5 °C (314 °F)
Farmakokinetički podaci
Poluvreme eliminacije 6-8 h
Farmakoinformacioni podaci
Trudnoća ?
Pravni status

Tofizopam je organsko jedinjenje, koje sadrži 22 atoma ugljenika i ima molekulsku masu od 382,453 Da.[5][6][7]

Osobine

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Osobina Vrednost
Broj akceptora vodonika 6
Broj donora vodonika 0
Broj rotacionih veza 6
Particioni koeficijent[8] (ALogP) 4,2
Rastvorljivost[9] (logS, log(mol/L)) -6,3
Polarna površina[10] (PSA, Å2) 61,6

Reference

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  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. Rundfeldt C, Socala K, Wlaz P: The atypical anxiolytic drug, tofisopam, selectively blocks phosphodiesterase isoenzymes and is active in the mouse model of negative symptoms of psychosis. J Neural Transm. 2010 Nov;117(11):1319-25. Epub 2010 Oct 22. PMID 20967473
  6. 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.  edit
  7. 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.  edit
  8. 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. 
  9. 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.  edit
  10. 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.  edit

Literatura

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Spoljašnje veze

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