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Pain-Domain Chemogenomics Knowledgebase
Disclaimer
This tool is provided free of charge to the public without warranty. By using this tool, you acknowledge the fact that we are not in any way responsible for any damages that your business may incur.
About
PAIN-CKB is an integrative pain-domain specific knowledgebase with full access for public use. It includes pain-related targets data and tools for target identification and systems pharmacology research. This knowledgebase will benefit the pain research area by bridging the knowledge barrier between computational, chemical, and biological to facilitate the identification of new DDIs and to accelerate the development of new analgesics.
For a quick start, click on Create a Job to submit your compound.
To learn more about how to use this tool, please refer to our User Guide.
Citation
Pain-CKB, A Pain-Domain-Specific Chemogenomics Knowledgebase for Target Identification and Systems Pharmacology Research
Zhiwei Feng, Maozi Chen, Mingzhe Shen, Tianjian Liang, Hui Chen, Xiang-Qun Xie Journal of Chemical Information and Modeling, 2020, 60(10), pp 4429-4435
Publication Date: August 12, 2020 https://doi.org/10.1021/acs.jcim.0c00633 https://pubmed.ncbi.nlm.nih.gov/32786694/
Pain Chemogenomics Knowledgebase (Pain-CKB) for Systems Pharmacology Target Mapping and PBPK Modeling Investigation of Opioid Drug-Drug Interactions
Shen, Mingzhe; Chen, Maozi; Liang, Tianjian; Wang, Siyi; Xue, Ying; Bertz, Richard; Xie, Xiang-Qun; Feng, Zhiwei ACS Chemical Neuroscience, 2020, 11(20), pp 3245-3258
Publication Date: September 23, 2020 https://doi.org/10.1021/acschemneuro.0c00372 https://pubmed.ncbi.nlm.nih.gov/32966035/
System Workflow & Architecture
Besides the functionalities provided on this website, we also provide a set of open APIs for people who are interested in consuming the power of our docking and prediction in their own way. To learn more about how, please refer to our documentations and inspectors.
Acknowledgements
This tool is developed proudly using Visual Studio Community 2022 with ASP.NET 6.0, Entity Framework Core and SignalR in C# and TypeScript and is hosted on RHEL 7.4 with Apache. Thanks to the developers of all the tools used.
Should you encounter any issue or have any question about the tool, please feel free to contact us at xieccgsgmailcom.