PepSeA docker container?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 35
- Forks
- 11
- PR merge metrics
- No merged PRs in 30d
Description
First of all, thank you for open-sourcing this project, I know how hard it could be from within big pharma, been there done that :)
I am wondering if anyone has productionalized PepSeA to be used in Docker containers, how are you deploying it in Merck? Can you please share the docker file if you have it already? If not, we might create it ourselves and contribute it back to the project.
A bit of background: at Datagrok, we are building an open-source extension that provides first-class support for macromolecules, see details here: https://datagrok.ai/macromolecules. To do that, we use a number of open-source tools and libraries (RDKit, Pistoia's HELM editor and webservice, sequence alignment tools, etc), as well as a number of tools that we built ourselves. We are considering including PepSeA into the toolbox for multiple sequence alignment.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no files, tests, or entry points. Start by inspecting the repository's Python installation and execution instructions, then determine what is needed for a reproducible Docker deployment. Done would mean a Dockerfile and documented deployment approach that runs PepSeA in a container.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- devops, infrastructure
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100