Alogliptin je organsko jedinjenje, koje sadrži 18 atoma ugljenika i ima molekulsku masu od 339,392 Da.[5][6][7][8][9]

Alogliptin
Klinički podaci
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 850649-61-5
ATC kod A10BH04
PubChem[1][2] 11450633
DrugBank DB06203
ChemSpider[3] 9625485
ChEBI CHEBI:72323 DaY
ChEMBL[4] CHEMBL376359 DaY
Hemijski podaci
Formula C18H21N5O2 
Mol. masa 339,392
SMILES eMolekuli & PubHem
Farmakokinetički podaci
Poluvreme eliminacije 21 h
Izlučivanje Renalno (76%), fekalno (13%)
Farmakoinformacioni podaci
Trudnoća ?
Pravni status
Način primene Oralno

Osobine uredi

Osobina Vrednost
Broj akceptora vodonika 5
Broj donora vodonika 1
Broj rotacionih veza 3
Particioni koeficijent[10] (ALogP) 1,3
Rastvorljivost[11] (logS, log(mol/L)) -2,4
Polarna površina[12] (PSA, Å2) 93,7

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. 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. Christopher R, Covington P, Davenport M, Fleck P, Mekki QA, Wann ER, Karim A: Pharmacokinetics, pharmacodynamics, and tolerability of single increasing doses of the dipeptidyl peptidase-4 inhibitor alogliptin in healthy male subjects. Clin Ther. 2008 Mar;30(3):513-27. PMID 18405789
  6. Covington P, Christopher R, Davenport M, Fleck P, Mekki QA, Wann ER, Karim A: Pharmacokinetic, pharmacodynamic, and tolerability profiles of the dipeptidyl peptidase-4 inhibitor alogliptin: A random ized, double-blind, placebo-controlled, multiple-dose study in adult patients with type 2 diabetes. Clin Ther. 2008 Mar;30(3):499-512. PMID 18405788
  7. Golightly LK, Drayna CC, McDermott MT: Comparative clinical pharmacokinetics of dipeptidyl peptidase-4 inhibitors. Clin Pharmacokinet. 2012 Aug 1;51(8):501-14. doi: 10.2165/11632930-000000000-00000. PMID 22686547
  8. 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. 
  9. 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. 
  10. 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. 
  11. 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. 
  12. 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

Spoljašnje veze uredi