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Research project predicting monomer pair reactivity ratios with QSAR models based on the U-V scheme and quantum chemical descriptors.

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ALescoulie/QSAR-monomer-reactivity-prediction

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QSAR-monomer-reactivity-prediction

Repository for research project on predicting monomer pair reactivity ratios with QSAR models of the U-V scheme values based on quantum chemical descriptors.

Data Set

Monomer molecules are stored as .mol2 files in the monomers directory. The files and were built in Avogadro an open-source molecular editor.

The U V scheme values were recorded each in their own .csv file with the values corresponding to their molecule in alphabetical order.

Descriptors were computed in Dragon 7 by Kode Chemioinformatics. The .mol2 files along with external variables were imported to compute descriptors, and output a tab delineated text file of the values about a specified threshold. The Dragon outputs are in the datafiles directory.

Prediction Model

U and V models were build using keras with an iterated k-fold approach in jupyter notebook. The files in the repository iterate through epoch values from 0 to 500 to evaluate the optimal setting.

An additional dependence for the models is scikit for the shuffle function used in implementing the iterated k-fold.

Acknowledgments

This work was supported by the Bill and Linda Frost Fund at Cal Poly San Luis Obispo.

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Research project predicting monomer pair reactivity ratios with QSAR models based on the U-V scheme and quantum chemical descriptors.

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