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https://xuanyuan.cloud/agents.md
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The official RFdiffusion docker image.
Maintained by: https://gitee.com/openeuler/cloudnative.
Where to get help: https://gitee.com/openeuler/cloudnative, https://gitee.com/openeuler/community.
Current RFdiffusion docker images are built on the https://repo.openeuler.org/. This repository is free to use and exempted from per-user rate limits.
RFdiffusion is an open source method for structure generation, with or without conditional information (a motif, target etc). It can perform a whole range of protein design challenges:
Learn more on https://github.com/RosettaCommons/RFdiffusion.
The tag of each rfdiffusion docker image is consist of the version of rfdiffusion and the version of basic image. The details are as follows
| Tag | Currently | Architectures |
|---|---|---|
| https://gitee.com/openeuler/openeuler-docker-images/blob/master/HPC/rfdiffusion/1.1.0/24.03-lts-sp3/Dockerfile | RFdiffusion 1.1.0 on openEuler 24.03-LTS-SP3 | amd64, arm64 |
Note: This image does not include model weights. You need to download them separately:
bashcd /opt/RFdiffusion/models wget http://files.ipd.uw.edu/pub/RFdiffusion/6f5902ac237024bdd0c176cb93063dc4/Base_ckpt.pt wget http://files.ipd.uw.edu/pub/RFdiffusion/e29311f6f1bf1af907f9ef9f44b8328b/Complex_base_ckpt.pt
For more model weights, see the https://github.com/RosettaCommons/RFdiffusion.
Here, users can select the corresponding {Tag} by their requirements.
Pull the openeuler/rfdiffusion image from docker
docker pull openeuler/rfdiffusion:{Tag}
Run rfdiffusion container
docker run -it --rm openeuler/rfdiffusion:{Tag}
Basic unconditional protein generation example
bashcd /opt/RFdiffusion ./scripts/run_inference.py 'contigmap.contigs=[150-150]' inference.output_prefix=test_outputs/test inference.num_designs=10
If you have any questions or want to use some special features, please submit an issue or a pull request on https://gitee.com/openeuler/openeuler-docker-images.
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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