4D-QSAR Analysis of Some New Pyrrole Derivatives Using Klopman Index Descriptor

ArticleYalnız künye

Özet

We applied the Klopman Index, the Local Reactive Descriptor (LRD), for 3-Dimensional (3D) interactions between the Ligand-Receptor (L-R), for some new pyrrole derivatives as antituberculosis agents for 4-Dimensional Quantitative Structure-Activity Relationship (4D-QSAR) investigations. The parameters of the receptor side belonging to the Pharmacophore (Pha), which consists of the interaction points suggested between L-R, were calculated in the Molecular Conformer Electron Topological (MCET) method we developed based on the LRD values on the ligand side. After the 4D-QSAR model was established with the Leave One Out Cross-Validation (LOO-CV) technique on the molecules in the training set, the model was confirmed on the molecules in the external test set. Statistical results obtained from both sets, Q2 = 0.875 and Rext2 = 0.918, respectively, were evaluated as satisfactory.

Anahtar Kelimeler

RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/20647Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.18185/erzifbed.973326Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorTürkmenoğlu, Burçin
dc.contributor.authorGüzel, Yahya
dc.contributor.authorKızılcan, Dilek Şeyma
dc.contributor.authorAslan, Ertuğrul
dc.date.accessioned2026-10-20T11:00:00.989313066Z
dc.date.available2026-10-20T11:00:00.989313066Z
dc.date.issued2022
dc.description.abstractWe applied the Klopman Index, the Local Reactive Descriptor (LRD), for 3-Dimensional (3D) interactions between the Ligand-Receptor (L-R), for some new pyrrole derivatives as antituberculosis agents for 4-Dimensional Quantitative Structure-Activity Relationship (4D-QSAR) investigations. The parameters of the receptor side belonging to the Pharmacophore (Pha), which consists of the interaction points suggested between L-R, were calculated in the Molecular Conformer Electron Topological (MCET) method we developed based on the LRD values on the ligand side. After the 4D-QSAR model was established with the Leave One Out Cross-Validation (LOO-CV) technique on the molecules in the training set, the model was confirmed on the molecules in the external test set. Statistical results obtained from both sets, Q2 = 0.875 and Rext2 = 0.918, respectively, were evaluated as satisfactory.
dc.identifier.doi10.18185/erzifbed.973326
dc.identifier.eissn2149-4584
dc.identifier.endpage182
dc.identifier.issn1307-9085
dc.identifier.issue1
dc.identifier.startpage168
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/20647
dc.identifier.volume15
dc.language.isoen
dc.relation.ispartofErzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectMikrobiyoloji
dc.subjectKimya, Tıbbi
dc.subjectBiyoteknoloji ve Uygulamalı Mikrobiyoloji
dc.subjectViroloji
dc.subjectBiyokimya ve Moleküler Biyoloji
dc.title4D-QSAR Analysis of Some New Pyrrole Derivatives Using Klopman Index Descriptor
dc.typeArticle
dspace.entity.typePublication
rdl.citation.trdizin0
rdl.source.indexTRDIZIN