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1993 Fiscal Year Final Research Report Summary

Chemometric QSAR of Organic Compounds

Research Project

Project/Area Number 04640548
Research Category

Grant-in-Aid for General Scientific Research (C)

Allocation TypeSingle-year Grants
Research Field 分析・地球化学
Research InstitutionToyohashi University of Technology

Principal Investigator

MIYASHITA Yoshikatsu  Toyohashi Univ.of Tech., Assoc.Prof., 工学部, 助教授 (70113884)

Project Period (FY) 1992 – 1993
KeywordsChemometrics / QSAR / PLS method / Neural Networks
Research Abstract

A Partial Least Squares (PLS) Method and Artificial Neural Networks (ANN) are chemometric tools for data modelling. PLS and ANN were employed for modelling of structure-activity relationships of organic compounds. In this study, Structure-activity relationships of fungicidal activity of azoxy compounds were investigated by using PLS and ANN.The chemical structure was represented by Z scales. The seven component PLS model was obtained but the model was not predictive. The ANN model trained by the back propagation algorithm was more predictive and give some insights into QSAR.Nonlinear modelling of C-13 NMR chemical shift data of halomethanes was investigated. ANN was used to correlate the counts of halogen atoms and chemical shift of 35 halomethanes. The ANN model successfully predicted chemical shifts of 6 commercially available halomethanes. It is found that PLS and ANN are quite useful tools for chemical data modelling.

  • Research Products

    (11 results)

All Other

All Publications (11 results)

  • [Publications] Y.Miyashita,et al.: "Multivariate Structure-Activity Relationships Analysis of Fungicidal and Herbicidal Thiolcarbamates using Partial Least Squares Method" Quant.Struct.-Act.Relat.11. 17-22 (1992)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] K.Hasegawa,et al.: "Quantitative Structure-Activity Relationships Study of Antiarrhythmic Phenyl Pyridines using Multivariate Partial Least Squares Modelling" Chemom.Intell.Lab.Systems. 16. 69-75 (1992)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] 宮下芳勝: "ケモメトリックスと化学モデリング-PLS法による新しい化学データの多変量解析-" ぶんせき. 220. 253-261 (1993)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Y.Miyashita,et al.: "Chemical Pattern Recognition and Multivariate Analysis for QSAR Studies" Trends Anal.Chem.12. 50-60 (1993)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Y.Miyashita,et al.: "Partial Least Squares Modelling of HMG-CoA Reductase Inhibitors" Computer Aided Innovation of New Materials II. 879-882 (1993)

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Y.Miyashita,et al.: "Nonlinear Modelling of ^<13>C NMR Chemical Shift Data using Artificial Neural Networks and Partial Least Squares Method" J.Mol.Struct.(THEOCHEM). (in press).

    • Description
      「研究成果報告書概要(和文)」より
  • [Publications] Y.Miyashita, et al.: "Multivariate Structure-Activity Relationships Analysis of Fungicidal and Herbicidal Thiolcarbamates using Partial Least Squares Method" Quant.Struct.-Act.Relat.11. 17-22 (1992)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] K.Hasegawa, et al.: "Quantitative Structure-Activity Relationships Study of Antiarrhythmic Phenyl Pyridines using Multivariate Partial Least Squares Modelling" Chemon.Intell.Lab.Systems. 16. 69-75 (1992)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Y.Miyashita, et al.: "Chemical Pattern Recognition and Multivariate Analysis for QSAR Studies" Trends Anal.Chem.12. 50-60 (1993)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Y.Miyashita, et al.: "Partial Least Squares Modelling of HMG-CoA Reductase Inhibitors" Computer Aided Innovation of New Materials. II. 879-882 (1993)

    • Description
      「研究成果報告書概要(欧文)」より
  • [Publications] Y.Miyashita, et al.: "Nonlinear Modelling of ^<13>C NMR Chemical Shift Data using Artificial Neural Networks and Partial Least Squares Method" J.Mol.Struct.(THEOCHEM). (in press).

    • Description
      「研究成果報告書概要(欧文)」より

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Published: 1995-03-27  

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