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QSAR study on para-substituted aromatic sulfonamides as carbonic anhydrase II inhibitors using topological information indices

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dc.contributor.author Melagraki, G en
dc.contributor.author Afantitis, A en
dc.contributor.author Sarimveis, H en
dc.contributor.author Igglessi-Markopoulou, O en
dc.contributor.author Supuran, CT en
dc.date.accessioned 2014-03-01T01:24:54Z
dc.date.available 2014-03-01T01:24:54Z
dc.date.issued 2006 en
dc.identifier.issn 0968-0896 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17506
dc.subject Carbonic anhydrase en
dc.subject QSAR en
dc.subject Sulfonamides en
dc.subject Topological indices en
dc.subject.classification Biochemistry & Molecular Biology en
dc.subject.classification Chemistry, Medicinal en
dc.subject.classification Chemistry, Organic en
dc.subject.other aromatic compound en
dc.subject.other carbonate dehydratase II en
dc.subject.other carbonate dehydratase inhibitor en
dc.subject.other sulfonamide en
dc.subject.other article en
dc.subject.other drug activity en
dc.subject.other drug information en
dc.subject.other drug structure en
dc.subject.other mathematical analysis en
dc.subject.other quantitative structure activity relation en
dc.subject.other step wise multiple regression en
dc.subject.other Carbonic Anhydrase II en
dc.subject.other Carbonic Anhydrase Inhibitors en
dc.subject.other Molecular Structure en
dc.subject.other Quantitative Structure-Activity Relationship en
dc.subject.other Sulfonamides en
dc.title QSAR study on para-substituted aromatic sulfonamides as carbonic anhydrase II inhibitors using topological information indices en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.bmc.2005.09.038 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.bmc.2005.09.038 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract A linear quantitative structure-activity relationship has been developed for a series of para-substituted aromatic sulfonamides by using topological index methodologies. The compounds were studied for their carbonic anhydrase II (CAII) inhibitory activity. A large series of topological indices were calculated and the stepwise regression method was used to derive the most significant model. Very good results were obtained using multi-parametric regressions and showed that the information approach used in the present work is quite useful for modeling carbonic anhydrase inhibition. (c) 2005 Elsevier Ltd. All rights reserved. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Bioorganic and Medicinal Chemistry en
dc.identifier.doi 10.1016/j.bmc.2005.09.038 en
dc.identifier.isi ISI:000234909700024 en
dc.identifier.volume 14 en
dc.identifier.issue 4 en
dc.identifier.spage 1108 en
dc.identifier.epage 1114 en


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