SpotRM is an easy to use and understand web application.
You search either by structure or text. A structure search will highlight a potential reactive metabolite alert in the searched structure while a text search will list drugs associated with your text string (more below). To have an understanding of the basic concepts, we recommend reading of our perspective paper: A. Claesson & A. Minidis, Chem. Res. Toxicol. 2018. Also reading the Scope text helps to understand the selection and inclusion/exclusion of drugs and data; these texts also explain the advantages and limitations of using SMARTS as descriptions of RM alerts. A list of the abbreviations used in the monographs and MiCs can be found here.
We strongly recommend that users set their web browser to open pdf files (i.e. monographs and MiCs) in the browser and not in a separate application; otherwise links in these files to other PDFs will not open.
You can paste a SMILES or InChI string into the marked window. You can also upload files in the formats *.smi, *.sd, and *.sdf, which are automatically recognized. In a file with SMILES strings you can have a name attached, for example a SMILES file can have:
If you do not have any SMILES directly available, here are a few that you can copy and test:
And here are a couple of InChI strings:
Text search covers:
Names of structural alerts are currently not searchable
If you do not find an answer to your question you should send it to ✉ support and you are also welcome with suggestions for improvements.
SpotRM also has a REST API which allows one to run searches from scripting environments such as python or Knime, or to integrate access to the SpotRM functionality into your inhouse systems. Several examples can be found here, including one showing how to retrieve a listing of all the available endpoints, and should show you enough of the API to get started with your own scripts or integration. Note that an active account is required to access the SpotRM API.
SpotRM Web depends on a number of open source components and libraries which are greatfully acknowledged and include: