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4D-QSAR and MIA-QSAR study on the Bruton's tyrosine kinase (Btk) inhibitors
Wenzhi Ma1, Yanyu Wang1, Dongchen Chu1
1Beijing Key Laboratory of Environmental and Viral Oncology, College of Life Science and Bio-engineering, Beijing University of Technology, Beijing, 100124, China.
Abstract:
In this paper, 4D-QSAR analysis base on LQTA-QSAR method and MIA-QSAR analysis were presented. And a combination model of 4D-QSAR model and MIA-QSAR model with better predictive performance was built. The 4D-QSAR descriptors were obtained by calculating the interaction energies between the probes and aligned conformational ensemble profiles (CEP) resulting from molecular dynamics simulation. The MIA descriptors were generated from aligned images of chemical structure. Those descriptors were filtered and employed in partial least squares (PLS) regression. The combination model was built by the merging the descriptors generated by the two methods of 4D-QSAR and MIA-QSAR analysis. Those models were built using programs written by authors, and anyone can download those programs at https://github.com/masgils.