canSAR.ai is a comprehensive, integrated knowledgebase for cancer drug discovery. It combines multidisciplinary data (biology, chemistry, pharmacology, structural biology, cellular networks, clinical annotations) and utilizes machine learning to offer drug-discovery predictions. The platform allows substructure and similarity searches of its chemical database, advanced searches across various data types, and provides access to 3D structures, protein families, and more. canSAR.ai is a free resource, supported by various organizations, and continuously updated with new data.
• machine learning
• integrated knowledge-base
• advanced search (protein, cell lines, drugs & compounds, diseases, 3d structures, protein families)
• chemical search
• drug discovery predictions
canSAR.ai is an integrated database that brings together biological, chemical, pharmacological (and eventually clinical) data. Its goal is to integrate this data and make it accessible to cancer research scientists from multiple disciplines, to aid hypothesis generation and decision making towards identifying causes, biomarkers and therapeutics for cancer.
No. canSAR.ai is freely available to all cancer researchers, both academic and commercial. Please read the Terms of Use.
canSAR is a historical play on words to reflect the fact that it integrates cancer-relevant data with compound Structure-Activity-Relationship (SAR) data. Of course canSAR.ai has grown to be much more than that but the name stuck!
Internet Explorer (IE) is a non-standards compliant browser and has been discontinued my Microsoft. If you want to use the successor of Internet Explorer, we recommend using Microsoft Edge to benefit from the full functionality of canSAR.
We really appreciate being told about bugs or any other issues you experience while using canSAR. Please email us on cansar@mdanderson.org.
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
canSAR.ai data comes from a wide variety of public sources and publications. The internal version of canSAR.ai also includes internally generated experimental data. For latest data sources and statistics, please refer to Data Sources.
We try to provide updated data as soon as it it available but generaly on a monthly basis. However, most of the data in canSAR.ai comes from public sources which have different update cycles. The Data Sources page allows you to see the status and content of each update.
We update 3D structures every week, a couple of days after PDB release new structures in order for us to provide additional annotations and integrate this data with the respective chemical and biological information in canSAR.
No, canSAR.ai searches all alternative names, synonyms, descriptions and keywords.
canSAR.ai target dictionary focusses on human data, although we have a large number of model organism targets. Target key word searches only search human targets . Chemical screening data is from a wide variety of organisms.
Is your target not a human target? Try expanding the search by clicking on "Advanced Search", then choose "All organisms". If you still cannot find your target (this rarely ever happens), and you can obtain the amino acid sequence of your target from another source, try performing a sequence search. If you still cannot find your target, please let us know by emailing cansar@mdanderson.org and we will try our best to help.
We annotate compound synonyms in canSAR.ai wherever we can. However, to make sure, please do a chemical structure search. If you think data is missing then please contact us on cansar@mdanderson.org.
If it is a single target, it is best to view the Target Synopsis and go to the Expression area. There you will find a list of tissues and cell lines with expression levels. See "Target Synopsis" in the Quick Start section for a quick guide on how to do this. If you have multiple targets that you want to know the expression for at once, please use the expression tool (In the tools section)
This information can be obtained from the "Compound Synopsis" Page for a given compound.
There are currently no job postings for this AI tool.
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