Hidrokodon je organsko jedinjenje, koje sadrži 18 atoma ugljenika i ima molekulsku masu od 299,364 Da.[6][7]

Hidrokodon
Klinički podaci
Robne marke Bekadid, Codinovo, Dico, Dicodid
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 125-29-1
ATC kod R05DA03
PubChem[1][2] 5284569
DrugBank DB00956
ChemSpider[3] 4447623
KEGG[4] C08024 DaY
ChEBI CHEBI:5779 DaY
ChEMBL[5] CHEMBL1457 DaY
Hemijski podaci
Formula C18H21NO3 
Mol. masa 299,364
SMILES eMolekuli & PubHem
Fizički podaci
Tačka topljenja 198 °C (388 °F)
Farmakokinetički podaci
Poluvreme eliminacije 1,25-3 sati
Farmakoinformacioni podaci
Trudnoća ?
Pravni status
Način primene Oralno

Osobine uredi

Osobina Vrednost
Broj akceptora vodonika 4
Broj donora vodonika 0
Broj rotacionih veza 1
Particioni koeficijent[8] (ALogP) 1,9
Rastvorljivost[9] (logS, log(mol/L)) -2,6
Polarna površina[10] (PSA, Å2) 38,8

Reference uredi

  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. Joanne Wixon, Douglas Kell (2000). „Website Review: The Kyoto Encyclopedia of Genes and Genomes — KEGG”. Yeast 17 (1): 48–55. DOI:10.1002/(SICI)1097-0061(200004)17:1<48::AID-YEA2>3.0.CO;2-H. 
  5. 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
  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 uredi

Spoljašnje veze uredi