Prijeđi na sadržaj

Mikofenolna kiselina

Izvor: Wikipedija
Mikofenolna kiselina
Klinički podaci
Robne marke Melbex, Myfortic
AHFS/Drugs.com acid.html Monografija
Identifikatori
CAS broj 24280-93-1
ATC kod L04AA06
PubChem[1][2] 446541
DrugBank DB01024
ChemSpider[3] 393865
ChEBI CHEBI:168396 DaY
ChEMBL[4] CHEMBL866 DaY
Hemijski podaci
Formula C17H20O6 
Mol. masa 320,337
SMILES eMolekuli & PubHem
Fizički podaci
Tačka topljenja 141 °C (286 °F)
Farmakokinetički podaci
Poluvreme eliminacije 13-17 sati
Farmakoinformacioni podaci
Trudnoća ?
Pravni status
Način primene Oralno

Mikofenolna kiselina je organsko jedinjenje, koje sadrži 17 atoma ugljenika i ima molekulsku masu od 320,337 Da.[5][6][7]

Osobine

[uredi | uredi kod]
Osobina Vrednost
Broj akceptora vodonika 6
Broj donora vodonika 2
Broj rotacionih veza 6
Particioni koeficijent[8] (ALogP) 3,2
Rastvorljivost[9] (logS, log(mol/L)) -3,3
Polarna površina[10] (PSA, Å2) 93,1

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. Woodroffe R, Yao GL, Meads C, Bayliss S, Ready A, Raftery J, Taylor RS: Clinical and cost-effectiveness of newer immunosuppressive regimens in renal transplantation: a systematic review and modelling study. Health Technol Assess. 2005 May;9(21):1-179, iii-iv. PMID 15899149
  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]

Vanjske veze

[uredi | uredi kod]