FAQ
We've answered some of the most frequently asked questions here.
Any other burning questions?
Don't hesitate to send Marvin a message at marvin@grit42.com.
How can I get grit?
That's easy. Either you go to GitHub and grab the code, or you follow the instructions in the README file on GitHub to download the Docker image and run the full platform in Docker.
Who's behind grit?
The platform was originally developed by grit42, a Copenhagen-based software company built on +25 years of experience in managing data and developing software for drug discovery data management. We continue to improve and add functionality to the platform.
Which open source license is grit published under?
grit is published under a GPL license, which basically means that you can use it and do with it what you please - also if you are a company.
However, if you consider distributing it to others, certain responsibilities apply. Read more about GPL here
How do I get support?
In general, we use GitHub for that, so go there to report bugs, suggest features, start a discussion, etc.
If you're interested in a service contract for support, reach out to us at contact@grit42.com and let's talk about how we can help.
I don't use small molecules. Is the platform also for me?
Yes, absolutely. You - or an admin in your organisation - can define your own "modalities" in the platform and what metadata to store on them.
So, as an example, if you work with oligos, you can add a new modality (compound type) called oligo and fully configure the data columns you want to store in the platform on each oligo. The platform can handle several different modalities simultaneously.
I just need a database for my molecules. Can I use it as a compound store?
Yes. Then you just ignore the assay/experiment part.
If you work with small molecules, you will get a fully functional compound database with structure viewer, exact match and substructure searching (via RDKit), and other filtering options as well as the ability to export subsets for further analysis.
The assay part of the platform can also be used to define in silico "assays", so if you run prediction models, you can load the data into the platform, linked to the relevant compounds/structures, as well.