Revised classification of kinases based on bioactivity data: the importance of data density and choice of visualization. - Shardul Paricharak; Tom Klenka; Martin Augustin; Umesh A. Patel; Andreas Bender 002 (J. Cheminformatics, 2013)

Are phylogenetic trees suitable for chemogenomics analyses of bioactivity data sets: the importance of shared active compounds and choosing a suitable data embedding method, as exemplified on Kinases. - Shardul Paricharak; Tom Klenka; Martin Augustin; Umesh A. Patel; Andreas Bender 002 (J. Cheminformatics, 2013)

How Diverse Are Diversity Assessment Methods? A Comparative Analysis and Benchmarking of Molecular Descriptor Space. - Alexios Koutsoukas; Shardul Paricharak; Warren R. J. D. Galloway; David R. Spring; Adriaan P. IJzerman; Robert C. Glen; David Marcus; Andreas Bender 002 (J. Chem. Inf. Model., 2014)

Proteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules. - Shardul Paricharak; Isidro Cortes-Ciriano; Adriaan P. IJzerman; Therese E. Malliavin; Andreas Bender 002 (J. Cheminformatics, 2015)

Data-Driven Derivation of an "Informer Compound Set" for Improved Selection of Active Compounds in High-Throughput Screening. - Shardul Paricharak; Adriaan P. IJzerman; Jeremy L. Jenkins; Andreas Bender 002; Florian Nigsch (J. Chem. Inf. Model., 2016)

Data-driven approaches used for compound library design, hit triage and bioactivity modeling in high-throughput screening. - Shardul Paricharak; Oscar Méndez-Lucio; Aakash Chavan Ravindranath; Andreas Bender 002; Adriaan P. IJzerman; Gerard J. P. van Westen (Briefings Bioinform., 2018)