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: 1.6.6
Chemical Search
Substructure and similarity searches againstthe canSAR.ai chemical database
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- Protein
- Cell Lines
- Drugs & Compounds
- Diseases
- 3D Structures
- Protein Families
FUNDING
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CITE canSAR
Kindly cite canSAR:
canSAR: update to the cancer translational research and drug discovery knowledgebase, Patrizio di Micco, Albert A Antolin, Costas Mitsopoulos, Eloy Villasclaras-Fernandez, Domenico Sanfelice, Daniela Dolciami, Pradeep Ramagiri, Ioan L Mica, Joseph E Tym, Philip W Gingrich, Huabin Hu, Paul Workman, Bissan Al-Lazikani Nucl. Acids Res. 2023 Jan 6;51(D1):D1212-D1219. DOI: 10.1093/nar/gkac1004
Latest data release for canSAR.ai
Release date: Jul 10, 2024