4D-QSAR analysis and pharmacophore modeling: Electron conformational-genetic algorithm approach for penicillins
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Tarih
2011
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pergamon-Elsevier Science Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
4D-QSAR studies were performed on a series of 87 penicillin analogues using the electron conformational-genetic algorithm (EC-GA) method. In this EC-based method, each conformation of the molecular system is described by a matrix (ECMC) with both electron structural parameters and interatomic distances as matrix elements. Multiple comparisons of these matrices within given tolerances for high active and low active penicillin compounds allow one to separate a smaller number of matrix elements (ECSA) which represent the pharmacophore groups. The effect of conformations was investigated building model 1 and 2 based on ensemble of conformers and single conformer, respectively. GA was used to select the most important descriptors and to predict the theoretical activity of the training (74 compounds) and test (13 compounds, commercial penicillins) sets. The model 1 for training and test sets obtained by optimum 12 parameters gave more satisfactory results (R-training(2) = 0.861, SEtraining = 0.044, R-test(2) = 0.892, SEtest = 0.099, q(2) = 0.702, q(ext1)(2) = 0.777 and q(ext2)(2) = 0.733) than model 2 (R-training(2) = 0.774, SEtraining = 0.056, R-test(2) = 0.840, SEtest = 0.121, q(2) = 0.514, q(ext1)(2) = 0.641 and q(ext2)(2) = 0.570). To estimate the individual influence of each of the molecular descriptors on biological activity, the E statistics technique was applied to the derived EC-GA model. (C) 2011 Elsevier Ltd. All rights reserved.
Açıklama
Anahtar Kelimeler
Penicillins, 4D-QSAR, Drug design, Pharmacophore, Electron conformational, Genetic algorithm
Kaynak
Bioorganic & Medicinal Chemistry
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
19
Sayı
7
