Partisyon katsayısı (log p) tahmininde kullanılan yazılımların karşılaştırılması
| dc.contributor.author | Kışla, Mehmet Murat | |
| dc.contributor.author | Yıldız, İlkay | |
| dc.contributor.department | Eczacılık Fakültesi | tr_TR |
| dc.date.accessioned | 2019-11-29T12:30:47Z | |
| dc.date.available | 2019-11-29T12:30:47Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Objective: Drug candidate compounds that are going to be synthesized have to reach body tissues and show minimum toxic effects within the body. Partition coefficient (log P), which is a physicochemical parameter of Quantitative Structure- Activity Relationship subject, effects the pharmacokinetical characteristic of the compound. In this context, researchers tend to use log P prediction softwares to save both time and resources in their drug development studies. Although, these softwares do not give a true value. In this study, softwares that have being used were tested. The one that gets approved for its accuracy can give some clues on the value of partition coefficient, before determining it experimentally. | tr_TR |
| dc.identifier.endpage | 19 | tr_TR |
| dc.identifier.issue | 1 | tr_TR |
| dc.identifier.startpage | 01 | tr_TR |
| dc.identifier.uri | http://hdl.handle.net/20.500.12575/68456 | |
| dc.identifier.volume | 43 | tr_TR |
| dc.language.iso | en | tr_TR |
| dc.publisher | Ankara : Ankara Üniversitesi | tr_TR |
| dc.relation.journal | Ankara Üniversitesi Eczacılık Fakültesi Dergisi | tr_TR |
| dc.relation.publicationcategory | Makale - Ulusal - Editör Denetimli Dergi | tr_TR |
| dc.subject | İlaç Geliştirme | tr_TR |
| dc.subject | Lipofiliklik | tr_TR |
| dc.title | Partisyon katsayısı (log p) tahmininde kullanılan yazılımların karşılaştırılması | tr_TR |
| dc.type | Article | tr_TR |