Shardul Paricharak

Publication Activity (10 Years)

Years Active: 2013-2018
Publications (10 Years): 2

Top Topics

Binding Peptides

Space Requirements

Mass Spectrometry Data

Top Venues

J. Cheminformatics

J. Chem. Inf. Model.

Briefings Bioinform.

Publications

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) (2018)
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) (2016)
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 (2015)
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) (2014)
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) (2013)
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 (2013)