Quantitative bioactivity prediction and pharmacophore identification for benzotriazine derivatives using the electron conformational-genetic algorithm in QSAR

dc.contributor.author	Sahin, K.
dc.contributor.author	Saripinar, E.
dc.contributor.author	Yanmaz, E.
dc.contributor.author	Gecen, N.
dc.date.accessioned	16/12/21 12:08
dc.date.available	16/12/21 12:08
dc.date.issued	2011
dc.identifier.issn	1062-936X
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10786
dc.identifier.uri	https://doi.org/10.1080/1062936X.2010.548341
dc.description.abstract	The electron conformational-genetic algorithm (EC-GA), a sophisticated hybrid approach combining the GA and EC methods, has been employed for a 4D-QSAR procedure to identify the pharmacophore for benzotriazines as sarcoma inhibitors and for quantitative p
dc.description.sponsorship	Scientific Technical Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [107T385]; Erciyes University (BAP)Erciyes University [FBD-09-924]
dc.language.iso	English
dc.publisher	Taylor & Francıs Ltd
dc.source	Sar And Qsar In Envıronmental Research
dc.title	Quantitative bioactivity prediction and pharmacophore identification for benzotriazine derivatives using the electron conformational-genetic algorithm in QSAR
dc.type	Article
dc.identifier.issue	3-4
dc.identifier.startpage	217
dc.identifier.endpage	238
dc.identifier.doi	10.1080/1062936X.2010.548341
dc.identifier.wos	WOS:000290966500001
dc.identifier.volume	22

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