Metformin

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Metformin
Drugi nazivi Apo-Metformin, Fortamet, Gen-Metformin, Glucophage
Identifikacija
CAS registarski broj 657-24-9 DaY
PubChem[1][2] 4091
ChemSpider[3] 3949 DaY
DrugBank DB00331
KEGG[4] C07151
ChEBI 6801
ChEMBL[5] CHEMBL1431 DaY
ATC code A10BA02,, A10BD11
Jmol-3D slike Slika 1
Svojstva
Molekulska formula C4H11N5
Molarna masa 129.16 g mol−1
Tačka topljenja

223-226

Farmakologija
Načini upotrebe Oralno
Vreme polu-uklanjanja iz organizma 8-12 h
Ekskrecija Renalno

 DaY (šta je ovo?)   (verifikuj)

Ukoliko nije drugačije napomenuto, podaci se odnose na standardno stanje (25 °C, 100 kPa) materijala

Infobox references

Metformin je organsko jedinjenje, koje sadrži 4 atoma ugljenika i ima molekulsku masu od 129,164 Da.[6][7][8][9][10][11][12]

Osobine[uredi | uredi kod]

Osobina Vrednost
Broj akceptora vodonika 2
Broj donora vodonika 4
Broj rotacionih veza 3
Particioni koeficijent[13] (ALogP) -0,7
Rastvorljivost[14] (logS, log(mol/L)) 1,6
Polarna površina[15] (PSA, Å2) 89,0

Reference[uredi | uredi kod]

  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. Witters LA: The blooming of the French lilac. J Clin Invest. 2001 Oct;108(8):1105-7. PMID 11602616
  7. UNGAR G, FREEDMAN L, SHAPIRO SL: Pharmacological studies of a new oral hypoglycemic drug. Proc Soc Exp Biol Med. 1957 May;95(1):190-2. PMID 13432032
  8. Lord JM, Flight IH, Norman RJ: Metformin in polycystic ovary syndrome: systematic review and meta-analysis. BMJ. 2003 Oct 25;327(7421):951-3. PMID 14576245
  9. Marchesini G, Brizi M, Bianchi G, Tomassetti S, Zoli M, Melchionda N: Metformin in non-alcoholic steatohepatitis. Lancet. 2001 Sep 15;358(9285):893-4. PMID 11567710
  10. Nair S, Diehl AM, Wiseman M, Farr GH Jr, Perrillo RP: Metformin in the treatment of non-alcoholic steatohepatitis: a pilot open label trial. Aliment Pharmacol Ther. 2004 Jul 1;20(1):23-8. PMID 15225167
  11. 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
  12. 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
  13. 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. 
  14. 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
  15. 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 | uredi kod]

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