Item request has been placed!
×
Item request cannot be made.
×
Processing Request
canSAR: update to the cancer translational research and drug discovery knowledgebase.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- المؤلفون: di Micco, Patrizio1,2 (AUTHOR); Antolin, Albert A3 (AUTHOR); Mitsopoulos, Costas3 (AUTHOR); Villasclaras-Fernandez, Eloy2 (AUTHOR); Sanfelice, Domenico2,3 (AUTHOR); Dolciami, Daniela2 (AUTHOR); Ramagiri, Pradeep3 (AUTHOR); Mica, Ioan L1,2 (AUTHOR); Tym, Joseph E2 (AUTHOR); Gingrich, Philip W1 (AUTHOR); Hu, Huabin3 (AUTHOR); Workman, Paul3 (AUTHOR) ; Al-Lazikani, Bissan1 (AUTHOR)
- المصدر:
Nucleic Acids Research. 1/6/2023, Vol. 51 Issue D1, pD1212-D1219. 8p.
- الموضوع:
- معلومة اضافية
- نبذة مختصرة :
canSAR (https://cansar.ai) is the largest public cancer drug discovery and translational research knowledgebase. Now hosted in its new home at MD Anderson Cancer Center, canSAR integrates billions of experimental measurements from across molecular profiling, pharmacology, chemistry, structural and systems biology. Moreover, canSAR applies a unique suite of machine learning algorithms designed to inform drug discovery. Here, we describe the latest updates to the knowledgebase, including a focus on significant novel data. These include canSAR's ligandability assessment of AlphaFold; mapping of fragment-based screening data; and new chemical bioactivity data for novel targets. We also describe enhancements to the data and interface. [ABSTRACT FROM AUTHOR]
No Comments.