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Latanoprost je organsko jedinjenje, koje sadrži 26 atoma ugljenika i ima molekulsku masu od 432,593 Da.[5][6][7]

Latanoprost
Klinički podaci
Robne marke Xalatan, Xalatan Fixed Flow Device
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 130209-82-4
ATC kod S01EE01
PubChem[1][2] 5311221
DrugBank DB00654
ChemSpider[3] 4470740
ChEBI CHEBI:6384 DaY
ChEMBL[4] CHEMBL1051 DaY
Hemijski podaci
Formula C26H40O5 
Mol. masa 432,593
SMILES eMolekuli & PubHem
Farmakokinetički podaci
Poluvreme eliminacije 17 minuta
Farmakoinformacioni podaci
Trudnoća ?
Pravni status
Način primene Oftalmički

Osobine

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Osobina Vrednost
Broj akceptora vodonika 5
Broj donora vodonika 3
Broj rotacionih veza 14
Particioni koeficijent[8] (ALogP) 4,4
Rastvorljivost[9] (logS, log(mol/L)) -6,5
Polarna površina[10] (PSA, Å2) 87,0

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. Hara T: [Increased iris pigmentation after use of latanoprost in Japanese brown eyes] Nippon Ganka Gakkai Zasshi. 2001 May;105(5):314-21. PMID 11406947
  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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