SUPPLEMENTARY MATERIAL Comprehensive assessment of Indian variations in the druggable kinome landscape highlights distinct insights at the sequence, structure and pharmacogenomic stratum Gayatri Panda1‡, Neha Mishra1‡, Disha Sharma2,3, Rahul C. Bhoyar3, Abhinav Jain2,3, Mohamed Imran2,3, Vigneshwar Senthilvel2,3, Mohit Kumar Divakar2,3, Anushree Mishra3, Priyanka Banerjee4, Sridhar Sivasubbu2,3, Vinod Scaria2,3, Arjun Ray1* 1 Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla, India. 2 Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India. 3 CSIR-Institute of Genomics and Integrative Biology, Mathura Road, Delhi-110020, India. 4 Institute for Physiology, Charite-University of Medicine, Berlin, 10115 Berlin, Germany. ‡These authors contributed equally to this work. *
[email protected] TABLE OF CONTENTS Name Title Supplemental_Figure_S1 Fauchere and Pliska hydrophobicity scale for variations in structure data Supplemental_Figure_S2 Phenotypic drug-drug correlogram Supplemental_Table_S1 545 kinase coding genes used in the study Supplemental_Table_S2 Classes and count of kinase coding genes Supplemental_Table_S3 Allele frequency Indian v/s other populations from 1000 genome data(1000g2015). Supplemental_Table_S4 IndiGen Structure Data- consisting of 12 genes and their 22 variants Supplemental_Table_S5 Genes, PDB ids, mutations in IndiGen data and associated drugs (FDA approved) Supplemental_Table_S6 Data used for docking and binding pocket similarity analysis Supplemental_Table_S7