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Coronavirus Discovery resource

This is a Coronavirus research view of can SAR BLACK that we provide freely and openly to the research and drug discovery community to support them in the battle against Covid-19. This is a community resource and we invite the coronavirus research community to input (contact us)

can SAR 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 @can SAR

Coronavirus Special Reports

CITE CANSAR

Kindly cite 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. doi: 10.1093/nar/gkaa1059

CONTACT US

canSARS is a public, freely available knowledgebase provided to the community.

We welcome your input, suggestions and bug reports. Please contact us at:

@canSAR_ICR

[email protected]