- canSAR: an updated cancer research and drug discovery knowledgebase. [PMID: 26673713]
Joseph E Tym, Costas Mitsopoulos, Elizabeth A Coker, Parisa Razaz, Amanda C Schierz, Albert A Antolin, Bissan Al-Lazikani
Nucleic acids research 2016:44(D1)
Citation (to be updated)
Abstract: canSAR (http://cansar.icr.ac.uk) is a publicly available, multidisciplinary, cancer-focused knowledgebase developed to support cancer translational research and drug discovery. canSAR integrates genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and druggability data. canSAR is widely used to rapidly access information and help interpret experimental data in a translational and drug discovery context. Here we describe major enhancements to canSAR including new data, improved search and browsing capabilities, new disease and cancer cell line summaries and new and enhanced batch analysis tools. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.
- ICR expands CanSAR drug discovery platform. [PMID: 24402955]
Cancer discovery 2014:4(1)
Citation (to be updated)
Abstract: The UK's Institute of Cancer Research, London has broadened its CanSAR knowledgebase, a cancer drug-discovery platform that integrates genomic, chemical, and pharmacologic data. The newly released CanSAR 2.0 adds more prediction methodologies and holds data on more than 8 million experimentally derived measurements, nearly 1 million biologically active chemical compounds, and more than 1,000 cancer cell lines.
- canSAR: updated cancer research and drug discovery knowledgebase. [PMID: 24304894]
Krishna C Bulusu, Joseph E Tym, Elizabeth A Coker, Amanda C Schierz, Bissan Al-Lazikani
Nucleic acids research 2014:42(Database issue)
30 Citations (Google Scholar as of 2016-01-20)
Abstract: canSAR (http://cansar.icr.ac.uk) is a public integrative cancer-focused knowledgebase for the support of cancer translational research and drug discovery. Through the integration of biological, pharmacological, chemical, structural biology and protein network data, it provides a single information portal to answer complex multidisciplinary questions including--among many others--what is known about a protein, in which cancers is it expressed or mutated, and what chemical tools and cell line models can be used to experimentally probe its activity? What is known about a drug, its cellular sensitivity profile and what proteins is it known to bind that may explain unusual bioactivity? Here we describe major enhancements to canSAR including new data, improved search and browsing capabilities and new target, cancer cell line, protein family and 3D structure summaries and tools.
- The story of CanSAR. [PMID: 22428323]
Journal of environmental health 2012:74(7)
0 Citations (Google Scholar as of 2016-06-08)
- canSAR: an integrated cancer public translational research and drug discovery resource. [PMID: 22013161]
Mark D Halling-Brown, Krishna C Bulusu, Mishal Patel, Joe E Tym, Bissan Al-Lazikani
Nucleic acids research 2012:40(Database issue)
40 Citations (Google Scholar as of 2016-04-27)
Abstract: canSAR is a fully integrated cancer research and drug discovery resource developed to utilize the growing publicly available biological annotation, chemical screening, RNA interference screening, expression, amplification and 3D structural data. Scientists can, in a single place, rapidly identify biological annotation of a target, its structural characterization, expression levels and protein interaction data, as well as suitable cell lines for experiments, potential tool compounds and similarity to known drug targets. canSAR has, from the outset, been completely use-case driven which has dramatically influenced the design of the back-end and the functionality provided through the interfaces. The Web interface at http://cansar.icr.ac.uk provides flexible, multipoint entry into canSAR. This allows easy access to the multidisciplinary data within, including target and compound synopses, bioactivity views and expert tools for chemogenomic, expression and protein interaction network data.