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Investigation of 3D pharmacophore of N-benzyl benzamide molecules of melanogenesis inhibitors using a new descriptor Klopman index: uncertainties in model.
Alp Tokat, Tugba; Türkmenoglu, Burçin; Güzel, Yahya; Kizilcan, Dilek Seyma.
Affiliation
  • Alp Tokat T; Department of Chemistry, Faculty of Science, Erciyes University, 38039, Kayseri, Turkey.
  • Türkmenoglu B; Department of Chemistry, Faculty of Science, Erciyes University, 38039, Kayseri, Turkey. burcinnturkmenoglu@gmail.com.
  • Güzel Y; Department of Chemistry, Faculty of Science, Erciyes University, 38039, Kayseri, Turkey.
  • Kizilcan DS; Department of Chemistry, Faculty of Science, Erciyes University, 38039, Kayseri, Turkey.
J Mol Model ; 25(8): 247, 2019 Jul 24.
Article de En | MEDLINE | ID: mdl-31342175
ABSTRACT
We used a new descriptor called the Klopman index in our software of the "molecular comparative electron topology" (MCET) method to reduce the uncertainty resulting from the descriptors used in QSAR studies. The 3D pharmacophore model (3D-PhaM), which can demonstrate three-dimensional interaction between the ligand -receptor (L-R), is only possible with local reactive descriptors (LRD). The Klopman index, containing both Coulombic and frontier orbital and interactions of atoms of the ligand, is a good LRD. Molecular conformers having the best matching atoms with the template conformer can be selected as one of the most suitable spatial structures for interaction with the receptor, and the LRD values of the atoms in this conformer serve to determine 3D-PhaM. The 3D-PhaM of the N-benzyl benzamide derivatives, such as the melanogenesis inhibitor, was determined by ligand-based MCET and confirmed by the structure-based FlexX docking method. For compounds of the training set (42) and the external cross validation test set (6), the Q2 (0.862) and R2 (0.913) of the statistical parameters were calculated, respectively, and were checked by rm2 (0.85) of the stringent validation.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Benzamides / Algorithmes / Modèles moléculaires / Relation quantitative structure-activité / Incertitude / Mélanines Langue: En Journal: J Mol Model Sujet du journal: BIOLOGIA MOLECULAR Année: 2019 Type de document: Article Pays d'affiliation: Turquie

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Benzamides / Algorithmes / Modèles moléculaires / Relation quantitative structure-activité / Incertitude / Mélanines Langue: En Journal: J Mol Model Sujet du journal: BIOLOGIA MOLECULAR Année: 2019 Type de document: Article Pays d'affiliation: Turquie