can SAR .ai
The integrated knowledge-base 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.
We are in a transition period moving to MD Anderson Cancer Center. There might be glitches while we finalize this and if you find any issues, please contact us via email
Version: 1.6.4
Chemical Search
Substructure and similarity searches againstthe canSAR.ai chemical database
Advanced Search
- Protein
- Cell Lines
- Drugs & Compounds
- Diseases
- 3D Structures
- Protein Families
FUNDING
canSAR.ai is made possible through the help of:
DATA PARTNERS
Organizations that help canSAR.ai with data:
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
Latest data release for canSAR.ai
Release date: Sep 20, 2023