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Peramivir

Izvor: Wikipedija
Peramivir
Klinički podaci
AHFS/Drugs.com Monografija
Identifikatori
CAS broj 229614-55-5
ATC kod nije dodeljen
PubChem[1][2] 151164
ChemSpider[3] 133234
UNII 9ZS94HQO3B DaY
ChEMBL[4] CHEMBL332608 DaY
Hemijski podaci
Formula C15H28N4O4 
Mol. masa 328,407
SMILES eMolekuli & PubHem
Farmakoinformacioni podaci
Trudnoća ?
Pravni status

Peramivir je organsko jedinjenje, koje sadrži 15 atoma ugljenika i ima molekulsku masu od 328,407 Da.

Osobine

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Osobina Vrednost
Broj akceptora vodonika 6
Broj donora vodonika 6
Broj rotacionih veza 8
Particioni koeficijent[5] (ALogP) 0,6
Rastvorljivost[6] (logS, log(mol/L)) -2,2
Polarna površina[7] (PSA, Å2) 152,0

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. 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. 
  6. 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. 
  7. 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

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Vanjske veze

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