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Information Journal Paper

Title

LINEAR AND NONLINEAR QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP FOR PREDICTION OF DRUG ACTIVITY OF SOME AMINO ACID DERIVATIVES

Pages

  53-61

Abstract

 In this paper, quantitative structure–activity relationship (QSAR) of 38 amini acid derivatives as potent inhibitor of histone deacetylase (HDAC) enzyme for the treatment of cancer and other diseases was studied. These enzymes catalyze the removal of acetyl groups from the lysine residues of proteins including histones.A suitable set of molecular descriptors was calculated and the step-wise was employed to select four descriptors that resulted in the best fitted models. Multiple linear regression (MLR) and artificial neural network (ANN) were performed to build the models. Comparison the results of these two methods reveals that those obtained by the ANN model have much more prediction capability.

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    APA: Copy

    NEKOEI, M., MOHAMMAD HOSSEINI, M., RAHIMI, M., & ALAVI GHARAHBAGH, A.. (2013). LINEAR AND NONLINEAR QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP FOR PREDICTION OF DRUG ACTIVITY OF SOME AMINO ACID DERIVATIVES. JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC), 6(4), 53-61. SID. https://sid.ir/paper/180278/en

    Vancouver: Copy

    NEKOEI M., MOHAMMAD HOSSEINI M., RAHIMI M., ALAVI GHARAHBAGH A.. LINEAR AND NONLINEAR QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP FOR PREDICTION OF DRUG ACTIVITY OF SOME AMINO ACID DERIVATIVES. JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC)[Internet]. 2013;6(4):53-61. Available from: https://sid.ir/paper/180278/en

    IEEE: Copy

    M. NEKOEI, M. MOHAMMAD HOSSEINI, M. RAHIMI, and A. ALAVI GHARAHBAGH, “LINEAR AND NONLINEAR QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP FOR PREDICTION OF DRUG ACTIVITY OF SOME AMINO ACID DERIVATIVES,” JOURNAL OF APPLIED RESEARCHES IN CHEMISTRY (JARC), vol. 6, no. 4, pp. 53–61, 2013, [Online]. Available: https://sid.ir/paper/180278/en

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