Vemurafenib

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Vemurafenib
Klinički podaci
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 918504-65-1
ATC kod L01XE15
PubChem[1][2] 42611257
DrugBank DB08881
ChemSpider[3] 24747352
ChEBI CHEBI:63637 DaY
ChEMBL[4] CHEMBL1229517 DaY
Hemijski podaci
Formula C23H18ClF2N3O3S 
Mol. masa 489,922
SMILES eMolekuli & PubHem
Farmakokinetički podaci
Poluvreme eliminacije 57 h
Farmakoinformacioni podaci
Trudnoća ?
Pravni status
Način primene Oralno

Vemurafenib je organsko jedinjenje, koje sadrži 23 atoma ugljenika i ima molekulsku masu od 489,922 Da.[5][6][7]

Osobine[uredi | uredi kod]

Osobina Vrednost
Broj akceptora vodonika 4
Broj donora vodonika 2
Broj rotacionih veza 7
Particioni koeficijent[8] (ALogP) 5,0
Rastvorljivost[9] (logS, log(mol/L)) -7,5
Polarna površina[10] (PSA, Å2) 100,3

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. 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. Jordan EJ, Kelly CM: Vemurafenib for the treatment of melanoma. Expert Opin Pharmacother. 2012 Dec;13(17):2533-43. doi: 10.1517/14656566.2012.737780. Epub 2012 Oct 24. PMID 23094782
  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 | uredi kod]

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