QSAR Study of 17β-HSD3 Inhibitors by Genetic Algorithm-Support Vector Machine as a Target Receptor for the Treatment of Prostate Cancer

@inproceedings{Pourbasheer2017QSARSO,
  title={QSAR Study of 17β-HSD3 Inhibitors by Genetic Algorithm-Support Vector Machine as a Target Receptor for the Treatment of Prostate Cancer},
  author={Eslam Pourbasheer and Saadat Vahdani and Davood Malekzadeh and Reza Aalizadeh and Amin Ebadi},
  booktitle={Iranian journal of pharmaceutical research : IJPR},
  year={2017}
}
The 17β-HSD3 enzyme plays a key role in treatment of prostate cancer and small inhibitors can be used to efficiently target it. In the present study, the multiple linear regression (MLR), and support vector machine (SVM) methods were used to interpret the chemical structural functionality against the inhibition activity of some 17β-HSD3inhibitors. Chemical structural information were described through various types of molecular descriptors and genetic algorithm (GA) was applied to decrease the… CONTINUE READING

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