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Lakosamid

Izvor: Wikipedija
Lakosamid
Klinički podaci
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 175481-36-4
ATC kod N03AX18
PubChem[1][2] 219078
DrugBank DB06218
ChemSpider[3] 189902
ChEMBL[4] CHEMBL58323 DaY
Hemijski podaci
Formula C13H18N2O3 
Mol. masa 250,294
SMILES eMolekuli & PubHem
Fizički podaci
Tačka ključanja 536.4 °C (998 °F)
Farmakokinetički podaci
Poluvreme eliminacije 13 h
Izlučivanje Renalno
Farmakoinformacioni podaci
Trudnoća ?
Pravni status
Način primene Intravenozno, oralno

Lakosamid je organsko jedinjenje, koje sadrži 13 atoma ugljenika i ima molekulsku masu od 250,294 Da.[5][6][7][8]

Osobine

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Osobina Vrednost
Broj akceptora vodonika 3
Broj donora vodonika 2
Broj rotacionih veza 6
Particioni koeficijent[9] (ALogP) 0,0
Rastvorljivost[10] (logS, log(mol/L)) -2,8
Polarna površina[11] (PSA, Å2) 67,4

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. Sheets PL, Heers C, Stoehr T, Cummins TR: Differential block of sensory neuronal voltage-gated sodium channels by lacosamide, lidocaine and carbamazepine. J Pharmacol Exp Ther. 2008 Mar 31;. PMID 18378801
  6. Jones GL, Popli GS, Silvia MT: Lacosamide-induced valproic Acid toxicity. Pediatr Neurol. 2013 Apr;48(4):308-10. doi: 10.1016/j.pediatrneurol.2012.12.039. PMID 23498565 23498565
  7. 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
  8. 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
  9. 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. 
  10. 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
  11. 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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