Ponatinib

Ponatinib
Klinički podaci
AHFS/Drugs.com	Monografija
Identifikatori
CAS broj	943319-70-8
ATC kod	L01XE24
DrugBank	DB08901
ChemSpider	24747381
ChEMBL	CHEMBL1171837
Hemijski podaci
Formula	C29H27F3N6O
Mol. masa	532,559
SMILES	eMolekuli & PubHem
InChI
	InChI=1/C29H27F3N6O/c1-20-5-6-22(16-21(20)8-10-25-18-33-27-4-3-11-34-38(25)27)28(39)35-24-9-7-23(26(17-24)29(30,31)32)19-37-14-12-36(2)13-15-37/h3-7,9,11,16-18H,12-15,19H2,1-2H3,(H,35,39); Key: PHXJVRSECIGDHY-UHFFFAOYNA-N
Farmakokinetički podaci
Poluvreme eliminacije	24 h
Farmakoinformacioni podaci
Trudnoća	?
Pravni status
Način primene	Oralno

Ponatinib je organsko jedinjenje, koje sadrži 29 atoma ugljenika i ima molekulsku masu od 532,559 Da.^[3]^[4]^[5]

Osobine uredi

Osobina	Vrednost
Broj akceptora vodonika	5
Broj donora vodonika	1
Broj rotacionih veza	7
Particioni koeficijent^[6] (ALogP)	4,9
Rastvorljivost^[7] (logS, log(mol/L))	-7,6
Polarna površina^[8] (PSA, Å²)	65,8

Reference uredi

↑ 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
↑ 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
↑ Reddy EP, Aggarwal AK: The ins and outs of bcr-abl inhibition. Genes Cancer. 2012 May;3(5-6):447-54. doi: 10.1177/1947601912462126. PMID 23226582
↑ 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
↑ 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
↑ 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.
↑ 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
↑ 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

Hardman JG, Limbird LE, Gilman AG. (2001). Goodman & Gilman's The Pharmacological Basis of Therapeutics (10 izd.). New York: McGraw-Hill. DOI:10.1036/0071422803. ISBN 0-07-135469-7.
Thomas L. Lemke, David A. Williams, ur. (2007). Foye's Principles of Medicinal Chemistry (6 izd.). Baltimore: Lippincott Willams & Wilkins. ISBN 0-7817-6879-9.

Spoljašnje veze uredi

	Portal Medicina
	Portal Hemija

Ponatinib

[1] 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

[2] 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

[3] Reddy EP, Aggarwal AK: The ins and outs of bcr-abl inhibition. Genes Cancer. 2012 May;3(5-6):447-54. doi: 10.1177/1947601912462126. PMID 23226582

[4] 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

[5] 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

[6] 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.

[7] 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

[8] 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

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