coralME 1.2.3.1

Comprehensive Reconstruction Algorithm for ME-models (coralME)

The COmprehensive Reconstruction ALgorithm for ME-models (coralME) is an automatic pipeline for the reconstruction of ME-models. coralME integrates existing ME-modeling packages COBRAme, ECOLIme, and solveME, generalizes their functions for implementation on any prokaryote, and processes readily available organism-specific inputs for the automatic generation of a working ME-model.

coralME has four main objectives:

1. Synchronize input files to remove contradictory entries.

2. Complement input files from homology with a template organism to complete the E-matrix.

3. Reconstruct a ME-model.

4. Troubleshoot the ME-model to make it functional.

If you use coralME in your research, please cite https://doi.org/10.1016/j.cels.2025.101451

Getting started

With an existing M-model file (JSON or XML) and a corresponding genome GenBank file, run (only v1.2.0+)

coralme --m-model-path PATH_TO_M_MODEL --genbank-path PATH_TO_GENBANK_FILE

To get help:

coralme --help

For more usage information, go to Tutorials.

Installation

Install using pip

1. pip install coralme

Install locally

1. Clone repository and navigate to it.

2. pip install --editable .

Install using docker (tested on Ubuntu 22.04)

1. Clone repository and navigate to it.

2. docker build --file "./Dockerfile-Python3.10" . -t "python3.10-coralme"

3. docker run --detach -p 10000:8888 -v USER/PATH/TO/coralme/:/opt/notebooks/ python3.10-coralme

4. In your browser, go to localhost:10000

Install using docker (to run MINOS and quad MINOS for Apple Silicon)

1. Install OrbStack (Docker Desktop alternative - recommended because it automatically uses Rosetta for AMD images).

2. Clone repository and navigate to coralme/.

3. docker buildx create --name multiarch --use

4. docker buildx build --platform linux/amd64 --file "./Dockerfile-Python3.10" . -t "python3.10-coralme:amd64" --load

5. docker run --detach -p 10000:8888 -v USER/PATH/TO/coralme/:/opt/notebooks/ python3.10-coralme:amd64

6. In your browser, go to localhost:10000

CLI and GUI

To perform a ME-model reconstruction, command-line and graphical-user interfaces are provided for quick setup:

• To execute the command-line interface, type coralme. At least, the model and the genome files must be provided. For help, execute coralme --help

• To execute the graphical-user interface, the user must have installed R and shiny. Then, in a terminal, execute runApp('app.R') and a browser tab should open with the ShinyApp.

Requirements

• Python3, version 3.9, 3.10, 3.11, 3.12, 3.13 or 3.14

• Ubuntu 22.04 is recommended (libgfortran.so.5 is required to execute MINOS and quad MINOS)

• GUROBI and gurobipy are optional. Instead, the user should install GLPK or any solver compatible with COBRApy.

• Windows and MacOS users need to install Gurobi or IBM CPLEX Optimizer. Alternatively, Windows users can install WSL and Ubuntu. Windows and MacOS users can use as well Docker Desktop to install it. We recommend the installation of Jupyter in the guest and its access through a browser from the host.

The MINOS and quad MINOS solvers

Compiled MINOS and quad MINOS Debian-based OSes are provided here as *.so files under coralme/solver/debian, and have been compiled using:

• Python3, versions 3.7.17, 3.8.20, 3.9.21, and 3.10.16

  • wheel 0.38.4

  • cython 0.29.32

  • numpy 1.21.6

• Python3, versions 3.11.11, 3.12.9, 3.13.2, and 3.14.0

  • wheel 0.43.0

  • cython 3.0.10

  • numpy 2.0.0

  • meson 1.8.1

  • ninja 1.11.1.4

EXPERIMENTAL: Compiled MINOS and quad MINOS for RHEL-based OSes are provided here as *.so files under coralme/solver/rhel, and have been compiled using:

• wheel 0.43.0

• cython 3.0.10

• numpy 2.0.0

• meson 1.8.1

• ninja 1.11.1.4

Documentation

You can find the documentation as a combined PDF called coralME_Documentation.pdf

Development

Test environments using gh act --bind -j test --rm --rebuild | tee act.log. Use the version.sh script to gather information about package versions.

The coralME package has been tested using the following package versions:

Package	Python 3.8	Python 3.9	Python 3.10	Python 3.11	Python 3.12	Python 3.13	Python 3.14
cobra	0.30.0	0.30.0	0.30.0	0.30.0	0.30.0	0.30.0	0.30.0
numpy	1.24.4	1.26.4	1.26.4	2.2.6	2.2.6	2.2.6	2.2.6
scipy	1.10.1	1.13.1	1.14.0	1.14.0	1.14.0	1.14.1	1.14.0
pandas	2.0.3	2.3.3	2.3.3	2.3.3	2.3.3	2.3.3	2.3.3
biopython	1.83	1.85	1.86	1.86	1.86	1.86	1.86
sympy	1.12.1	1.12.1	1.12.1	1.12.1	1.12.1	1.12.1	1.12.1
pint	0.21.1	0.24.4	0.24.4	0.25.2	0.25.2	0.25.2	0.25.2
anyconfig	0.14.0	0.14.0	0.14.0	0.14.0	0.14.0	0.14.0	0.14.0