A community effort to collect a curated set of analysis pipelines built using Nextflow.

nf-core

A new request to upload a container to <http://quay.io|quay.io> has been made!

• *Container URL:* <http://quay.io/avitanov/antifold:0.3.1|quay.io/avitanov/antifold:0.3.1>
• *Why is this needed?:* Build a custom Docker image for AntiFold (no official image exists).
• *Confirmation:*
    ◦ This can't be done through the usual Bioconda
Note: only containers with a stable version will be accepted (ie. not `latest`)

Core team will add this container to <http://quay.io|quay.io>. Please react to the message with :white_check_mark: when this is done.
[This process is not automated]

submitter: <@U0AJPJZFQ84>

<@U0AJPJZFQ84> do you have a link to the original repo?
Where will this be used?

Yes, this is the repo <https://github.com/JelPej/nf-core-antibody-pipeline>

have you made a proposal in <#CE6SDEDAA> about it, I have no memories about it

yes, <https://nfcore.slack.com/archives/CE6SDEDAA/p1773137041146969>

still under review

ok, I'll have a look at the container ASAP

do you have a docker recipe corresponding to this container?

Is this the corresponding tool?
<https://github.com/oxpig/AntiFold>

Dockerfile.txt

docker: <https://wave.seqera.io/view/builds/bd-2d39fa84a931b114_2?_gl=1*dovd6r*_gcl_au*OTY3NDI4Njg3LjE3Njg4Mjg4NDQ>.
singularity: <https://wave.seqera.io/view/builds/bd-77b90274942990d4_1?_gl=1*142p4xl*_gcl_au*OTY3NDI4Njg3LjE3Njg4Mjg4NDQ>.

you can make a seqera containers since it's available on pip

Could you try and have a look at <https://seqera.io/containers> and see if you can set it up properly via pip and adding the necessary dependencies

I think I remember seeing an environment.yml on the reop

I have checked, in the environment.yml it is specified python=3.10 to be used as i am using in my image. I checked inside the container inside the container torch is also already installed there. The version of pytorch is 2.3.1 which is not available for python 3.14

I tested to change the python version of the docker image to 3.14 but the pytorch version is the problem. Pytorch version that is used by antifold is not available for python 3.14.