[Folding@home](https://foldingathome.org/) is a distributed computing project for simulating protein dynamics, including the process of protein folding and the movements of proteins implicated in a variety of diseases. It brings together citizen scientists who volunteer to run simulations of protein dynamics on their personal computers. Insights from this data are helping scientists to better understand biology, and providing new opportunities for developing therapeutics.
We utilise the docker manifest for multi-platform awareness. More information is available from docker [here](https://distribution.github.io/distribution/spec/manifest-v2-2/#manifest-list) and our announcement [here](https://blog.linuxserver.io/2019/02/21/the-lsio-pipeline-project/).
Simply pulling `lscr.io/linuxserver/foldingathome:latest` should retrieve the correct image for your arch, but you can also pull specific arch images via tags.
Before setting up this container, please register for an account on [https://app.foldingathome.org](https://app.foldingathome.org) and retrieve the account token shown in the account settings. That value should be populated in the `ACCOUNT_TOKEN` env var.
Once the container is created with the token and the machine name, the instance should be listed in the web app and can be controlled there.
Afterwards, the `ACCOUNT_TOKEN` and the `MACHINE_NAME` vars can be removed as the instance will already be associated with the online account and the info stored in the config folder.
## Migration from version 7.6
Version 8 of fah-client has been rewritten and has some breaking changes that we can't automatically mitigate in this container.
Unlike v7, v8 no longer bundles a local webgui. The web app is loaded from an online source and can only auto-detect instances that are running on the same machine (bare metal) as the browser. This is not possible in a docker container. Therefore, upgrading to v8 requires registering for an online account, retrieving the account token and setting it in the new env var `ACCOUNT_TOKEN`, along with a friendly name in `MACHINE_NAME`.
We automatically add the necessary environment variable that will utilise all the features available on a GPU on the host. Once nvidia container toolkit is installed on your host you will need to re/create the docker container with the nvidia container runtime `--runtime=nvidia` and add an environment variable `-e NVIDIA_VISIBLE_DEVICES=all` (can also be set to a specific gpu's UUID, this can be discovered by running `nvidia-smi --query-gpu=gpu_name,gpu_uuid --format=csv` ). NVIDIA automatically mounts the GPU and drivers from your host into the foldingathome docker container.
Containers are configured using parameters passed at runtime (such as those above). These parameters are separated by a colon and indicate `<external>:<internal>` respectively. For example, `-p 8080:80` would expose port `80` from inside the container to be accessible from the host's IP on port `8080` outside the container.
For all of our images we provide the ability to override the default umask settings for services started within the containers using the optional `-e UMASK=022` setting.
Keep in mind umask is not chmod it subtracts from permissions based on it's value it does not add. Please read up [here](https://en.wikipedia.org/wiki/Umask) before asking for support.
When using volumes (`-v` flags), permissions issues can arise between the host OS and the container, we avoid this issue by allowing you to specify the user `PUID` and group `PGID`.
[](https://mods.linuxserver.io/?mod=foldingathome "view available mods for this container.") [](https://mods.linuxserver.io/?mod=universal "view available universal mods.")
We publish various [Docker Mods](https://github.com/linuxserver/docker-mods) to enable additional functionality within the containers. The list of Mods available for this image (if any) as well as universal mods that can be applied to any one of our images can be accessed via the dynamic badges above.
Most of our images are static, versioned, and require an image update and container recreation to update the app inside. With some exceptions (noted in the relevant readme.md), we do not recommend or support updating apps inside the container. Please consult the [Application Setup](#application-setup) section above to see if it is recommended for the image.
* Recreate a new container with the same docker run parameters as instructed above (if mapped correctly to a host folder, your `/config` folder and settings will be preserved)
We recommend [Diun](https://crazymax.dev/diun/) for update notifications. Other tools that automatically update containers unattended are not recommended or supported.
## Building locally
If you want to make local modifications to these images for development purposes or just to customize the logic:
