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QSAR Study Of Neoplastic Drugs Of Triazine Series With The Help Of Quantum Chemical And Energy Descriptors

P.P.Singh, S.Singh,R.B.Srivastava


Quantum chemical descriptors such as chemical potential, electronegativity, eigen values of HOMO, eigen values of LUMO, absolute hardness, global softness and energy descriptors such as heat of formation, total energy, electronic energy, core-core repulsion, based QSAR study of 47 derivatives of triazine have been made with the help of PM3 calculations on Win MOPAC 7.21 software. The 3D modeling and geometry optimization have been done with the same software. The biological activity has been taken from literature. Multi Linear Regression analysis has been made with the help of above descriptors in 36 combinations, out of which 23 combinations have been found to provide successful models, as the predicted activity is very close to observed activity. εHOMO has been noticed as best quantum chemical descriptor and heat of formation, electronic energy and core-core repulsion as best energy descriptors. With the help of these combinations the biological activity of any triazine derivative can be predicted reliably.


索引于

  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 引用因子
  • 宇宙IF
  • 电子期刊图书馆
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • ICMJE

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