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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -81,6 +81,11 @@ optional arguments:

Check the [EXAMPLES](https://github.com/haddocking/haddock3/blob/main/examples/README.md) page for more some usage examples and the [User manual](https://www.bonvinlab.org/haddock3-user-manual) for a more detailed explanation of the configuration file.

## Container Usage Examples

- [Container Usage Guide](usage-container/docs/usage.md)
(see detailed docs on running, building container, Slurm snippets, etc.)

## Support

If you encounter any code-related issues, [please open an issue](https://github.com/haddocking/haddock3/issues/new/choose).
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106 changes: 106 additions & 0 deletions usage-container/README.md
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# Container workflow for HADDOCK3

Build, run, and extend an **Apptainer/Singularity** container for HADDOCK3. [**HADDOCK3**](https://doi.org/10.1021/acs.jcim.5c00969)(High Ambiguity Driven protein–protein Docking) is a flexible, information-driven software suite for modeling biomolecular complexes using experimental and theoretical restraints. **Docker**, **Singularity**, and **Apptainer** are containerization platforms that package applications and all their dependencies into lightweight, portable images, ensuring reproducible execution across different environments.

A ready-to-use Docker image for HADDOCK3 is published on the GitHub container registry, simply pull:
```bash
# For the latest release
docker pull ghcr.io/haddocking/haddock3:latest

# Or pin to a specific release for reproducibility
docker pull ghcr.io/haddocking/haddock3:2025.8.0

```
See the [HADDOCK3 container package](https://github.com/haddocking/haddock3/pkgs/container/haddock3) for details and version tags. This image serves as the canonical, versioned distribution of HADDOCK3 and can be used across development, CI/CD, and cloud environments.

To use this as the foundation for HPC-friendly SIF images, build **Apptainer** or **Singularity** containers directly from the Docker image in a single step. For example, to create an image:

```bash
# Build Apptainer image
apptainer build haddock3_mpi.sif docker://ghcr.io/haddocking/haddock3:2025.8.0

# Or, build with Singularity
singularity build haddock3_mpi.sif docker://ghcr.io/haddocking/haddock3:2025.8.0
```
**Note:** Refer to the [**usage.md**](https://github.com/haddocking/haddock3/blob/main/usage-container/docs/usage.md) and the example SLURM script available in the `scripts` folder for detailed instructions on how to run HADDOCK3 jobs in an HPC environment.
<pre> <strong>Version updates:</strong> The HADDOCK3 image is regularly updated. Please check the tags at <a href="https://github.com/haddocking/haddock3/pkgs/container/haddock3">ghcr.io/haddocking/haddock3</a> for the latest version. </pre>

---

### Build Your Own HADDOCK3 Container
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This is still pointing to https://github.com/Comp-era/HADDOCK3-Container - if we make it part of the haddock3 repo, we should rather point to the local haddock3 repo files.

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Link updated with local haddock3 repo files.

Containerization techniques enable highly reproducible, customizable, and scalable scientific workflows. If you want to understand how the container is built under the hood from scratch or customize it for your own workflows, follow these detailed steps:
1. **Clone**

```bash
git clone https://github.com/haddocking/haddock3.git
cd haddock3/usage-container/usage-container/recipe

```

**Repository Structure**

```plaintext
├── apptainer_recipe/
│ └── HADDOCK3.def # Definition file
├── docs/ # Documentation
│ ├── usage.md # Usage guide
├── scripts/ # Scripts
│ ├── slurm_run.sh # Multi-node MPI run script
├── README.md # Overview

```

2. **Build**

A definition file is a blueprint that tells the containerization platform how to build the container. It specifies the base OS, software packages, environment variables, and custom setup steps, ensuring your container is reproducible and tailored to your workflow.
A ready-to-use `HADDOCK3.def` is provided in the ([recipe/](https://github.com/haddocking/haddock3/blob/main/usage-container/recipe)) directory.

```bash
# Apptainer
apptainer build haddock3_mpi.sif haddock3_mpi.def

# Singularity
singularity build haddock3_mpi.sif haddock3_mpi.def
```

**Tip:** To create your own definition files to layer in additional packages, alternative MPI variants, Python libraries, and any domain-specific utilities.Just simply modify the `%post` section of `HADDOCK3.def` before building.

3. **Verify&Run**

- **Shell**: interactive access
```bash
apptainer shell haddock3_cpu-mpi.sif
```
- **HADDOCK3**: verify installation
```bash
apptainer shell haddock3_cpu-mpi.sif haddock3 --version
```


## Resources & Tutorials

- **Apptainer Installation & Usage**: Detailed installation instructions and usage examples can be found on the official docs: [apptainer.org/docs/admin/main/installation.html](https://apptainer.org/docs/admin/main/installation.html)
- **Official HADDOCK3 Tutorials**: Visit the Bonvin lab’s educational page for HADDOCK3 tutorials : [bonvinlab.org/education/HADDOCK3](https://www.bonvinlab.org/education/HADDOCK3/)
- **Source Code & Issues**: Explore the HADDOCK3 source code on GitHub: [github.com/haddocking/haddock3](https://github.com/haddocking/haddock3)

---

## Requirements

- **Host**: Linux with Apptainer or Singularity installed (local machine or HPC environment)
- **Disk**: ≥ 2 GB free for building
- **Python**: 3.10+ (inside container)

---

## Documentation

See the `docs/` folder:

- [**usage.md**](https://github.com/haddocking/haddock3/blob/main/usage-container/docs/usage.md) – Detailed usage and instructions to run Apptainer.


---

*Get ready for seamless reproducible workflow for HADDOCK3 runs!*

46 changes: 46 additions & 0 deletions usage-container/docs/usage.md
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This guide explains how to run HADDOCK3 jobs either interactively or via SLURM batch submission (MPI HPC ready)
---

## Quick Start

### 1. Run Interactively with `srun`

To run HADDOCK3 in an interactive SLURM session:

#example code

srun --partition=compute \
--nodes=1 \
--ntasks-per-node=8 \
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Would be nice to add somewhere some explanations on how to change the number of cpu used. Now the example gives 8, but is this a dynamic variable that the container will automatically take over? Or do you need to rebuild the container in case a different number of cpus should be used?

--chdir=/path/to/haddock3/examples/docking-protein-protein \
apptainer exec \
--bind /path/to/host:/path/to/host \
/path/to/haddock3_cpu-mpi.sif \
haddock3 docking-protein-protein-mpi.cfg

*Note: Change the `.cfg` file path and directory bindings to match your project location.*

---

### 2. Run as a Batch Job with `sbatch`

Submit your job to SLURM using the sample script in the `scripts/` folder:

```bash
scripts/ sbatch run_haddock3_slurm.sh
```

*Customize the script and config paths as needed.*

---




## Requirements

- SLURM-enabled HPC environment
- Docker, Apptainer or Singularity installed
- Image: `haddock3_cpu-mpi.sif`
- `.cfg` configuration file for HADDOCK3

27 changes: 27 additions & 0 deletions usage-container/recipe/haddock3_mpi.def
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Bootstrap: docker
From: ubuntu:22.04

%labels
Maintainer Shantanu Khatri
Description "MPI-ready HADDOCK3 + mpi4py container"

%environment
export PATH=/usr/local/bin:$PATH
export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/openmpi/lib:$LD_LIBRARY_PATH

%post
# Install core dependencies and MPI
apt-get update && apt-get install -y \
wget git build-essential cmake gfortran \
libfftw3-dev libxml2-dev zlib1g-dev \
openmpi-bin libopenmpi-dev \
python3 python3-pip \
&& apt-get clean && rm -rf /var/lib/apt/lists/*

# Install Python packages
pip3 install --no-cache-dir --upgrade pip \
mpi4py haddock3

%runscript
echo "Welcome to the MPI-ready HADDOCK3 container."
exec "$@"
34 changes: 34 additions & 0 deletions usage-container/scripts/slurm_run_apptainer.sh
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#!/bin/bash

#SBATCH --job-name=HADDOCK3-docking
#SBATCH --output=HADDOCK3_%j.out
#SBATCH --nodes=3
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Here we are requesting 3 nodes with each 120 tasks. Somewhere it should be made clear that the mpi run mode of HADDOCK3 must then be used in the config file.

#SBATCH --ntasks-per-node=120
#SBATCH --mem=256GB
#SBATCH --partition=compute

echo "Starting HADDOCK3 Docking Job"
echo "SLURM_JOBID = $SLURM_JOBID"
echo "SLURM_JOB_NODELIST = $SLURM_JOB_NODELIST"
echo "SLURM_NNODES = $SLURM_NNODES"
echo "SLURMTMPDIR = $SLURMTMPDIR"
echo "Date = $(date)"
echo "Hostname = $(hostname -s)"
echo "Working Directory = $(pwd)"
echo "Submit Directory = $SLURM_SUBMIT_DIR"

# Load necessary environment (optional depending on your setup)
source /lustre/oneApi/setvars.sh
export OMP_NUM_THREADS=1

# Run HADDOCK3 via Apptainer
cd "${WORK_DIR}"

# Ensure the working directory is set correctly
apptainer exec --bind /path/to/host/data:/path/to/container/data \
/path/to/haddock3_image.sif \
haddock3 your-docking-config.cfg


echo "HADDOCK3 Job Complete"
echo "Completed at: $(date)"
34 changes: 34 additions & 0 deletions usage-container/scripts/slurm_run_singularity.sh
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#!/bin/bash

#SBATCH --job-name=HADDOCK3-docking
#SBATCH --output=HADDOCK3_%j.out
#SBATCH --nodes=3
#SBATCH --ntasks-per-node=120
#SBATCH --mem=256GB
#SBATCH --partition=compute

echo "Starting HADDOCK3 Docking Job"
echo "SLURM_JOBID = $SLURM_JOBID"
echo "SLURM_JOB_NODELIST = $SLURM_JOB_NODELIST"
echo "SLURM_NNODES = $SLURM_NNODES"
echo "SLURMTMPDIR = $SLURMTMPDIR"
echo "Date = $(date)"
echo "Hostname = $(hostname -s)"
echo "Working Directory = $(pwd)"
echo "Submit Directory = $SLURM_SUBMIT_DIR"

# Load necessary environment (optional depending on your setup)
source /lustre/oneApi/setvars.sh
export OMP_NUM_THREADS=1

# Run HADDOCK3 via Apptainer
cd "${WORK_DIR}"

# Ensure the working directory is set correctly
singularity exec --bind /path/to/host/data:/path/to/container/data \
/path/to/haddock3_image.sif \
haddock3 your-docking-config.cfg


echo "HADDOCK3 Job Complete"
echo "Completed at: $(date)"