canSAR is developed by the
The Department of Data Science
in collaboration with the Computational Biology and Chemogenomics team in the
CRUK Cancer Therapeutics Unit
The Institute of Cancer Research , London UK.
canSAR is an integrated knowledgebase that brings together multidisciplinary data across biology,
chemistry, pharmacology, structural biology, cellular networks and clinical annotations, and applies
machine learning approaches to provide drug-discovery useful predictions.
canSAR’s goals: To enable translational research and drug discovery through providing
this knowledge to researchers from across different disciplines. It provides a single information portal
to answer complex multi-disciplinary questions and help hypothesis generation. It provides a single
information portal to answer complex multi-disciplinary 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?
This is a free resource for the community. We invite collaborators to give feedback, input and contact
us to ensure that we deliver what the translational research community needs.
Browser compatibility: canSAR works on latest versions of Firefox, Chrome, Safari and
agreeing to these
Data and stats: To view statistics of canSAR data please refer to the
Data Sources .
Funding: canSAR is funded by the Cancer Research UK Drug Discovery Committee strategic
award ‘canSAR: enhancing the drug discovery knowledgebase’ C35696/A23187.
We are also grateful to the
Wellcome Trust Biomedical Resource Award
Chemical Probes Portal
The Sir Henry Wellcome Postdoctoral Fellowship
(WT 204735/Z/16/Z) for support. We thank the Heather Beckwith Charitable Settlement and The John L
Beckwith Charitable Trusts for their generous support of our High Performance Computing facility.
Chemical Standardization Software: