Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis
Institute for Molecular Medicine Finland · University of Helsinki
Abstract
We carried out a systematic evaluation of target selectivity profiles across three recent large-scale biochemical assays of kinase inhibitors and further compared these standardized bioactivity assays with data reported in the widely used databases ChEMBL and STITCH. Our comparative evaluation revealed relative benefits and potential limitations among the bioactivity types, as well as pinpointed biases in the database curation processes. Ignoring such issues in data heterogeneity and representation may lead to biased modeling of drugs' polypharmacological effects as well as to unrealistic evaluation of computational strategies for the prediction of drug-target interaction networks. Toward making use of the…
Citation impact
- FWCI
- 9.54
- Percentile
- 100%
- References
- 51
Authors
7- JTJing TangCorresponding
Institute for Molecular Medicine Finland, University of Helsinki
- ASAgnieszka Szwajda
University of Helsinki, Institute for Molecular Medicine Finland
- SKSushil Kumar Shakyawar
Institute for Molecular Medicine Finland, University of Helsinki
- TXTao Xu
Institute for Molecular Medicine Finland, University of Helsinki
- PHPetteri Hintsanen
Institute for Molecular Medicine Finland, University of Helsinki
Topics & keywords
- chEMBL
- Drug discovery
- Computer science
- Computational biology
- Representation (politics)
- Scale (ratio)
- Kinase
- Data mining