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Journal of Chemical Information and Modeling|February 4, 2016
Assessing the Growth of Bioactive Compounds and Scaffolds over Time: Implications for Lead Discovery and Scaffold HoppingSwarit Jasial, Ye Hu, Jürgen BajorathJournal of Medicinal Chemistry|April 20, 2017
How Frequently Are Pan-Assay Interference Compounds Active? Large-Scale Analysis of Screening Data Reveals Diverse Activity Profiles, Low Global Hit Frequency, and Many Consistently Inactive CompoundsSwarit Jasial, Ye Hu, Jürgen BajorathPlos One|April 16, 2016
Determining the Degree of Promiscuity of Extensively Assayed CompoundsSwarit Jasial, Ye Hu, Jürgen BajorathF1000Research|June 12, 2015
Promiscuity progression of bioactive compounds over timeYe Hu, Swarit Jasial, Jürgen BajorathThe AAPS Journal|March 8, 2017
Structure-Promiscuity Relationship Puzzles-Extensively Assayed Analogs with Large Differences in Target AnnotationsYe Hu, Swarit Jasial, Erik Gilberg, et al.F1000Research|May 10, 2016
Activity-relevant similarity values for fingerprints and implications for similarity searchingSwarit Jasial, Ye Hu, Martin Vogt, et al.Medchemcomm|August 16, 2018
Dark chemical matter in public screening assays and derivation of target hypothesesSwarit Jasial, Jürgen BajorathFuture Science OA|October 2, 2018
Computationally derived compound profiling matricesMartin Vogt, Swarit Jasial, Jürgen BajorathACS Omega|July 20, 2018
Extracting Compound Profiling Matrices from Screening DataMartin Vogt, Swarit Jasial, Jürgen BajorathJournal of Computer-Aided Molecular Design|August 23, 2019
Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationshipsTomoyuki Miyao, Swarit Jasial, Jürgen Bajorath, et al.Pageof 88