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Pericijazin

Izvor: Wikipedija
Pericijazin
Klinički podaci
Robne marke Neulactil, Neuleptil, Yaz
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 2622-26-6
ATC kod N05AC01
PubChem[1][2] 4747
DrugBank DB01608
ChemSpider[3] 4585
ChEBI CHEBI:31981 DaY
Hemijski podaci
Formula C21H23N3OS 
Mol. masa 365,492
SMILES eMolekuli & PubHem
Fizički podaci
Tačka topljenja 116-117 °C (-63 °F)
Farmakoinformacioni podaci
Trudnoća ?
Pravni status

Pericijazin je organsko jedinjenje, koje sadrži 21 atom ugljenika i ima molekulsku masu od 365,492 Da.[4][5]

Osobine

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Osobina Vrednost
Broj akceptora vodonika 5
Broj donora vodonika 1
Broj rotacionih veza 4
Particioni koeficijent[6] (ALogP) 3,4
Rastvorljivost[7] (logS, log(mol/L)) -4,7
Polarna površina[8] (PSA, Å2) 75,8

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. 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
  5. 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
  6. 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. 
  7. 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
  8. 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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Vanjske veze

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