Author Interviews, Cancer Research, Genetic Research, Personalized Medicine, Technology / 06.01.2016
canSAR Database Analysis Speeds Identification of New Cancer Targets
MedicalResearch.com Interview with:
Dr Bissan Al-Lazikani
Team leader in computational biology
The Institute of Cancer Research
London
Medical Research: What is the background for the canSAR database? What are the main uses for the tool?
Dr. Al-Lazikani: Drug discovery is a difficult, time consuming and expensive venture that frequently ends in late stage drug failures - especially in oncology.
As with any complex venture, decisions throughout the drug discovery pipeline can be empowered by having access to the right information at the right time. But for drug discovery this means bringing together billions of experimental data from very diverse areas of science spanning genomics, proteomics, chemistry and more.
We developed canSAR to help guide our own drug discovery efforts by integrating these huge, diverse data and by analysing the data and deriving hidden links and knowledge from them. This means that we can answer questions in minutes that would have taken weeks using previously available public resources. But, more importantly, canSAR analyses and links these data in a way that allows us to derive knowledge that was hidden before. For example, one of the main ways canSAR is used is to help select the best druggable targets for drug discovery. Using canSAR we were able to uncover many druggable cancer proteins that were previously overlooked, and we are delighted to see that several of these proteins are now the subjects of drug discovery and development projects both by us and by others.
We took the decision to make canSAR publicly and freely available because we believe that cancer drug discovery is a vast challenge that requires openness and data sharing worldwide. It has been embraced by the community is being used by tens of thousands of cancer scientists worldwide, both in academia and industry, to generate hypotheses for experiments and select targets for drug discovery.
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