Quantitative structure activity relationships studies for prediction of antimicrobial activity of synthesized disulfonamide derivatives
Yazarlar (4)
Prof. Dr. Saliha Alyar Çankiri Karatekin Üniversitesi, Türkiye
Prof. Dr. Neslihan ÖZBEK Kırşehir Ahi Evran Üniversitesi, Türkiye
Kübra Kuzukıran Gazi Üniversitesi, Türkiye
Nurcan Karacan Gazi Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Medicinal Chemistry Research (Q3) | ||
| Dergi ISSN | 1054-2523 Dergi Bilgileri (2011) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 03-2011 |
| Cilt / Sayı / Sayfa | 20 / 2 / 175–183 | DOI | 10.1007/s00044-010-9304-7 |
| Makale Linki | http://link.springer.com/10.1007/s00044-010-9304-7 | ||
| UAK Araştırma Alanları |
Anorganik Kimya
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| Özet |
| A new series of disulfonamides were synthesized and assayed as antimicrobial agents against Staphylococcus aureus, Bacillus cereus, and Escherichia coli. The quantitative structure–activity relationship analysis (QSAR) was applied to find out the correlation between experimentally evaluated antimicrobial activities with various parameters of the compounds using stepwise multiple liner regression method. The QSAR analysis revealed that the third-order average connectivity index \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$ \left( {^{3} \chi^{\text{A}} } \right) $$\end{document} was found to have negative correlation. The best QSAR models were further validated by leave-one-out method … |
| Anahtar Kelimeler |
| Antimicrobial activity | Disulfonamides | QSAR | Sulfonamides |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 16 |
| Scopus | 17 |
| Google Scholar | 20 |