Data For "A Robust Machine Learning Approach for the Prediction of Allosteric Binding Sites"

Dataset

Description

This dataset contains the appendices to the thesis "A Robust Machine Learning Approach for the Prediction of Allosteric Binding Sites." Contents include both raw and processed data presented in Excel or text formats, as well as PyMOL session files. Full details of each appendix are provided in the README file.

Data embargo on thesis data until 28/03/2019
Date made available30 Mar 2017
PublisherUniversity of Strathclyde

Cite this

Vassileiou, A. (Creator). (30 Mar 2017). Data For "A Robust Machine Learning Approach for the Prediction of Allosteric Binding Sites". University of Strathclyde. Appendix_1_PGD_raw_data(.zip), Appendix_2_Percent_ID_Matrices(.xlsx), Appendix_3_Res_Abundance_Graphs(.xlsx), Appendix_4_full_dataset_60protein(.txt), Appendix_5_Correlation_Analysis(.xlsx), Appendix_6_final_model_PyMOL_sessions(.zip), README(.txt). 10.15129/d40aa95f-cd9a-47e2-abd4-a08381668b47