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Bizmut subsalicilat je organsko jedinjenje, koje sadrži 7 atoma ugljenika i ima molekulsku masu od 362,093 Da.[1][2][3]

Bizmut subsalicilat
Bismuth subsalicylate.png
Bismuth-subsalicylate-3D-balls.png
Klinički podaci
Prodajno imeBismatrol, Bismed, Bismuth caplets, Bismuth chewables
Drugs.comsubsalicylate.html Monografija
Način primeneTopikalno, oralno, sublingualno
Identifikatori
CAS broj14882-18-9 ДаY
ATC kodA02BX05 (WHO), A02BX12
PubChemCID 16682734
DrugBankDB01294 ДаY
ChemSpider17615374 ДаY
KEGGC07870 ДаY
ChEBICHEBI:261649 ДаY
ChEMBLCHEMBL1120 ДаY
Hemijski podaci
FormulaC7H5BiO4
Molarna masa362,093

Садржај

OsobineУреди

ReferenceУреди

  1. ^ Goldenberg MM, Honkomp LJ, Burrous SE, Castellion AW: Protective effect of Pepto-Bismol liquid on the gastric mucosa of rats. Gastroenterology. 1975 Sep;69(3):636-40. PMID 1158081
  2. ^ 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. PMC 3013709 . PMID 21059682. doi:10.1093/nar/gkq1126. 
  3. ^ David S. Wishart; Craig Knox; An Chi Guo; Dean Cheng; Savita Shrivastava; Dan Tzur; Bijaya Gautam; Murtaza Hassanali (2008). „DrugBank: a knowledgebase for drugs, drug actions and drug targets”. Nucleic acids research. 36 (Database issue): D901—6. PMC 2238889 . PMID 18048412. doi:10.1093/nar/gkm958. 
  4. ^ Ghose, A.K.; Viswanadhan V.N. & 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. 
  5. ^ 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. PMID 11749573. doi:10.1021/ci000392t. 
  6. ^ 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. PMID 11020286. doi:10.1021/jm000942e. 

LiteraturaУреди

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