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 Microsoft Edge.
all researchers. By using canSAR you are 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
Chemical Standardization Software: