4D-QSAR Study of Some Pyrazole Pyridine Carboxylic Acid Derivatives By Electron Conformational-Genetic Algorithm Method

Tuzun B., YAVUZ S. C., Sabanci N., SARIPINAR E.

CURRENT COMPUTER-AIDED DRUG DESIGN, cilt.14, sa.4, ss.370-384, 2018 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 4
  • Basım Tarihi: 2018
  • Doi Numarası: 10.2174/1573409914666180514094202
  • Dergi Adı: CURRENT COMPUTER-AIDED DRUG DESIGN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.370-384
  • Anahtar Kelimeler: Electron conformational-genetic algorithm method, 4D-QSAR, pharmacophore, pyrazole, pyridine, carboxylic acid derivatives, CONCORDANCE CORRELATION-COEFFICIENT, PHARMACOPHORE IDENTIFICATION, BIOACTIVITY PREDICTION, QSAR, VALIDATION, RECEPTOR, DESCRIPTORS, INHIBITORS, EVALUATE, LIGANDS
  • Erciyes Üniversitesi Adresli: Evet

Özet

Introduction: In the present work, pharmacophore identification and biological activity prediction for 86 pyrazole pyridine carboxylic acid derivatives were made using the electron conformational genetic algorithm approach which was introduced as a 4D-QSAR analysis by us in recent years. In the light of the data obtained from quantum chemical calculations at HF/6-311 G** level, the Electron Conformational Matrices of Congruity (ECMC) were constructed by EMRE software. Comparing the matrices, electron conformational submatrix of activity (ECSA, Pha) was revealed that are common for these compounds within a minimum tolerance. A parameter pool was generated considering the obtained pharmacophore.