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Journal Articles
- 2018
[j6]Shardul Paricharak, Oscar Méndez-Lucio, Aakash Chavan Ravindranath, Andreas Bender, Adriaan P. IJzerman, Gerard J. P. van Westen
:
Data-driven approaches used for compound library design, hit triage and bioactivity modeling in high-throughput screening. Briefings Bioinform. 19(2): 277-285 (2018)- 2016
- [j5]Shardul Paricharak, Adriaan P. IJzerman, Jeremy L. Jenkins, Andreas Bender, Florian Nigsch:
Data-Driven Derivation of an "Informer Compound Set" for Improved Selection of Active Compounds in High-Throughput Screening. J. Chem. Inf. Model. 56(9): 1622-1630 (2016) - 2015
- [j4]Shardul Paricharak, Isidro Cortes-Ciriano, Adriaan P. IJzerman, Therese E. Malliavin, Andreas Bender:
Proteochemometric modelling coupled to in silico target prediction: an integrated approach for the simultaneous prediction of polypharmacology and binding affinity/potency of small molecules. J. Cheminformatics 7: 15 (2015) - 2014
- [j3]Alexios Koutsoukas, Shardul Paricharak, Warren R. J. D. Galloway, David R. Spring, Adriaan P. IJzerman, Robert C. Glen, David Marcus, Andreas Bender:
How Diverse Are Diversity Assessment Methods? A Comparative Analysis and Benchmarking of Molecular Descriptor Space. J. Chem. Inf. Model. 54(1): 230-242 (2014) - 2013
- [j2]Shardul Paricharak, Tom Klenka, Martin Augustin, Umesh A. Patel, Andreas Bender:
Revised classification of kinases based on bioactivity data: the importance of data density and choice of visualization. J. Cheminformatics 5(S-1): 24 (2013) - [j1]Shardul Paricharak, Tom Klenka, Martin Augustin, Umesh A. Patel, Andreas Bender:
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. J. Cheminformatics 5: 49 (2013)
Coauthor Index
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