This is a Coronavirus research view of
that we provide freely and openly to the research and drug discovery community to support them in the
Covid-19. This is a community resource and we invite the coronavirus research community to
is an integrated knowledgebase that brings together data across biology, chemistry, pharmacology,
structural biology, cellular networks, and clinical annotations, and applies machine learning approaches
to provide predictions useful for drug discovery and translational research.
Most data available in canSAR is agnostic of disease area and the resource is used widely outside of the
oncology field. The Oncology-focused website is available @canSAR
canSAR: update to the cancer translational research and drug discovery knowledgebase
, Costas Mitsopoulos, Patrizio Di Micco, Eloy Villasclaras Fernandez, Daniela Dolciami, Esty Holt, Ioan
L. Mica, Elizabeth A. Coker, Joseph E. Tym, James Campbell, Ka Hing Che, Bugra Ozer, Christos Kannas,
Albert A. Antolin, Paul Workman, Bissan Al-Lazikani, Nucl. Acids Res. 2021 Jan 8;49(D1):D1074-D1082.
canSARS is a public, freely available knowledgebase provided to the community.
We welcome your input, suggestions and bug reports. Please contact us at: