Acknowledgements

After several years of serving the research community, our ActiveDriverDB database will be retired on May 1st 2026. Please make sure to download any data you need and update your links or workflows before that date.

We want to sincerely thank all our users for their support, feedback, and collaboration over the years — your contributions have been invaluable to this project. A special thank you to Dr. Michal Krassowski for leading the development of our open-source software and database.

For any questions or assistance, please contact Jüri Reimand (juri.reimand@utoronto.ca).

You are viewing an updated version (2021) of the ActiveDriverDB. To view the previous version please visit activedriverdb.org/v2020

Publications of databases providing essential data for ActiveDriverDB:

Hornbeck P. V. et al., PhosphoSitePlus, 2014: mutations, PTMs and recalibrations. Nucleic Acids Res. 43:D512-20 (2015). PubMed: 25514926
Dinkel, H. et al., Phospho.ELM: a database of phosphorylation sites--update 2011. Nucleic acids research 39, D261-267 (2011). PubMed: 21062810
Keshava Prasad, T. S., et al. Human Protein Reference Database--2009 update. Nucleic acids research 37, D767-772 (2009). PubMed: 18988627
The UniProt Consortium. UniProt: the universal protein knowledgebase Nucleic Acids Res. 45: D158-D169 (2017) PubMed: 29425356
The Cancer Genome Atlas Research Network. The Cancer Genome Atlas Pan-Cancer analysis project. Nature Genetics 45, 1113-1120 (2013). PubMed: 24071849
Ellrott K. et al., Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines. Cell Systems. Mar 28;6(3):271-281.e7 (2018). PubMed: 29596782
1000 Genomes Project Consortium. A global reference for human genetic variation. Nature 526, 68-74. (2015). PubMed: 26432245
Tennessen, J. A., et al. Evolution and functional impact of rare coding variation from deep sequencing of human exomes. Science 337, 64-69 (2012). PubMed: 22604720
Landrum, M. J., et al. ClinVar: public archive of relationships among sequence variation and human phenotype. Nucleic Acids Res 42, D980-985 (2014). PubMed: 24234437
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium. Pan-cancer analysis of whole genomes. Nature 578, 82–93 (2020). PubMed: 32025007
Bouhaddou, M., et al. The Global Phosphorylation Landscape of SARS-CoV-2 Infection. Cell, 182(3), 685-712.e19 (2020) PubMed: 32645325

We used following resources to provide external references (protein mappings):

The UniProt Consortium, UniProt: the universal protein knowledgebase Nucleic Acids Res. 45: D158-D169 (2017). PubMed: 29425356
- HUMAN_9606_idmapping.dat.gz mappings file, accessed June 14 2017.
The NCBI handbook [Internet]. Bethesda (MD): National Library of Medicine (US), National Center for Biotechnology Information; 2002 Oct. Chapter 18, The Reference Sequence (RefSeq) Project. Available from http://www.ncbi.nlm.nih.gov/books/NBK21091
- LRG_RefSeqGene mappings file, accessed June 14 2017.

Pathways lists are based on a gmt file retrieved from g:Profiler resource:

Reimand, J., et al. g:Profiler -- a web server for functional interpretation of gene lists (2016 update) Nucleic Acids Res. 44(W1) W83-9 (2016). PubMed: 27098042

Protein description summaries and full protein names (as on RefSeq pages) were retrieved using UCSC Table browser:

Karolchik, D., et al. The UCSC Table Browser data retrieval tool. Nucleic Acids Res. Jan 1;32(Database issue):D493-6 (2004). PubMed: 14681465.

DrugBank (CC-BY-NC/4.0 licensed) data are used for drug kinase interaction networks.

Wishart D.S., et al. Drugbank: a comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Res. Jan 1;34 (Database issue):D668-72 (2006) PubMed: 16381955.

The results shown here are in whole or part based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/.

Our database uses data from the PhosphositePlus database which is not for commercial use; please see Terms and Conditions on the following page: Terms of Use and License.