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__pycache__ | ||
*.pyc | ||
package.json | ||
.vscode | ||
tags | ||
.idea | ||
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timer.dat | ||
git-commands.txt | ||
icolos/config/unit_tests_config/config.json | ||
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tests/junk | ||
*.log | ||
.directory | ||
*_cache | ||
*.ipynb_checkpoints |
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# Update log | ||
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### Version 1.4.0 | 2022-01-19 | ||
#### Features | ||
- Added support for non-equilibrium relative binding free energy calculation with PMX. | ||
- Added Glide support for feeding in "in" files from Maestro directly. | ||
- Added AutoDock Vina as docking backend. | ||
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#### Internal | ||
- Limited refactoring of support functions. | ||
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### Version 1.3.0 | 2021-11-18 | ||
#### Features | ||
- Added Iterator mechanism for parallel step execution. | ||
- Pose rescoring my RMSD workflow. | ||
- MMGBSA workflow with GROMACS. | ||
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#### Internal | ||
- Improved error logging from subprocesses. | ||
- Improvements to MDpocket workflows. | ||
- Refactored example workflows + added new examples. | ||
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### Version 1.2.0 | 2021-09-15 | ||
#### Features | ||
- Added MDpocket workflow for pocket identification. | ||
- Expanded scope of GROMACS workflow for improved ligand/cofactor parametrisation. | ||
- Improved FEP+ workflow map construction and analysis. | ||
- Performance optimisation for Turbomole and Prime. | ||
- Added PDBFixer step. | ||
- Added ensemble docking. | ||
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#### Internal | ||
- Improved temporary file handling. | ||
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### Version 1.1.0 | 2021-06-30 | ||
#### Features | ||
- Added `Ligprep` workflow step. | ||
- Added `Glide` workflow step. | ||
- Added run-time global variables. | ||
- Added JSON input type (`REINVENT`-compatible). | ||
- Additional `GROMACS` binaries, and automated ligand parametrisation. | ||
- Added support for Schrodinger's `FEP+` workflow. | ||
- Added support for `OptunaAZ` model building. | ||
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#### Bug fixes | ||
- Fixed problems in tabular write-out (no compound names and sometimes lost column order). | ||
- Fixed bug in aggregation (`highest_is_best` parameter was not working properly). | ||
- Fixed instability with step write-out (occurred when no conformers were associated with a compound). | ||
- Fixed bug in the parallelization of `Ligprep`. | ||
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#### Internal | ||
- Refactored structure for `Schrodinger` binaries. | ||
- Reworked the write-out functionality. | ||
- Reworked internal file handling. | ||
- Reworked generic data handling. | ||
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### Version 1.0.0 | 2021-05-21 | ||
#### Features | ||
- Basic functionality (data handling, backend wrapping). | ||
- Various steps implemented (`Turbomole`, `Cosmo`, `OMEGA`, `GROMACS`, ...). | ||
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### Bug fixes | ||
- Fixed issues with `Turbomole` execution. | ||
- Enforced GROMACS execution in `tmp_dir`. | ||
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### Internal | ||
- Adapted `pydantic` interface. | ||
|
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#syntax=docker/dockerfile:1 | ||
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FROM continuumio/miniconda3 | ||
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COPY environment.yml . | ||
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RUN conda env create -f environment.yml |
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Apache License | ||
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# `Icolos`: Workflow manager | ||
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The `Icolos` tool is a workflow manager, that aims at separating execution logic from actual implementation as much as | ||
possible. Workflows are specified in `JSON` files (see folder `examples`), linking steps together. Currently wrapped are | ||
a diverse set of tools and internal steps, including QM and MD software. | ||
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## Introduction | ||
`Icolos` provides a single, unified interface to a host of software for common computational chemistry calculations, with built in parallelization, | ||
and straight-forward extensibiltiy to add additional functionality. It was principally developed to handle structural calculations for `REINVENT` jobs, however, various workflows have also been used as stand-alone pipelines. | ||
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Workflows are constructed from elementary 'steps', individual blocks which specify a sequential list of operations (normally corresponding to a single program being executed), | ||
with control of the command-line options provided through step settings, and options to control other aspects of the step's behaviour included in the `additional` block. | ||
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For many use cases, one of the template workflows might suit your needs, or need a few tweaks to do what you want. The JSONs in the example folder are less regularly updated | ||
with new features and are mostly used for integration testing. | ||
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## Initial configuration | ||
You are welcome to clone the repository and use a local version, and in particular if you would like to experiment with the code base and/or contribute features, please get | ||
in contact with us. | ||
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## Installation | ||
After cloning, first install the `icolosprod` `conda` environment: | ||
``` | ||
conda create -f environment_min.yml | ||
``` | ||
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## Execution | ||
Once a `JSON` is specified, the workflow can be executed like so: | ||
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``` | ||
conda activate icolosprod | ||
python executor.py -conf workflow.json | ||
``` | ||
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## `SLURM` Execution | ||
Once specified, a workflow can be called like this in a `bash` script: | ||
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``` | ||
#!/bin/bash -l | ||
#SBATCH -N 1 | ||
#SBATCH -t 0-02:59:00 | ||
#SBATCH -p core | ||
#SBATCH --ntasks-per-node=5 | ||
#SBATCH --mem-per-cpu=2G | ||
source /<conda_path>/miniconda3/bin/activate /<conda_path>/minconda3/envs/icolosprod | ||
python /<icolos_path>/Icolos/executor.py -conf workflow.json | ||
``` | ||
For GROMACS workflows requiring the GPU partition, you will need to adapt the header accordingly, e.g. like so: | ||
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``` | ||
#!/bin/bash | ||
#SBATCH -J gmx_cco1_fold_microsecond | ||
#SBATCH -o MygpuJob_out_%j.txt | ||
#SBATCH -e MygpuJob_err_%j.txt | ||
#SBATCH --nodes=1 | ||
#SBATCH --ntasks=4 | ||
#SBATCH --cpus-per-task=4 | ||
#SBATCH --gres=gpu:4 | ||
#SBATCH --gres-flags=enforce-binding | ||
#SBATCH --mem-per-cpu=4g | ||
#SBATCH -p gpu | ||
#SBATCH --time=370:00:00 | ||
``` | ||
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## Developers | ||
- Christian Margreitter <christian.margreitter@astrazeneca.com> | ||
- J. Harry Moore <harry.moore@astrazeneca.com> | ||
- Matthias R. Bauer <mattias.r.b@gmail.com> |
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name: icolosprod | ||
channels: | ||
- psi4 | ||
- conda-forge | ||
- defaults | ||
- rdkit | ||
dependencies: | ||
- biopython>=1.79 | ||
- ipython | ||
- pip | ||
- python>=3.9 | ||
- scikit-learn>=1.0.1 | ||
- modal>=0.4 | ||
- psi4>=1.4 | ||
- pdbfixer | ||
- pydantic>=1.8 | ||
- pyvis | ||
- requests | ||
- openbabel>=3 | ||
- rdkit>=2021.09.2 | ||
- pip: | ||
- black | ||
- regex | ||
- peptidebuilder>=1.1 |
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#!/bin/bash -l | ||
#SBATCH -N 1 | ||
#SBATCH -t 0-02:59:00 | ||
#SBATCH -p core | ||
#SBATCH --ntasks-per-node=5 | ||
#SBATCH --mem-per-cpu=2G | ||
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source /projects/cc/mai/miniconda3/bin/activate /projects/cc/mai/miniconda3/envs/Icolos | ||
python /projects/cc/mai/IcolosDev/executor.py -conf /projects/cc/mai/material/Icolos/templates/NIBR/12-06-21nibr.json -debug \ | ||
--global_variables "entrypoint_dir:<path>/icolos, input_path_json:{entrypoint_dir}/tests/data/reinvent/small_input.json, output_path_json:{entrypoint_dir}/tests/junk/nibr_reinvent.json" | ||
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#!/bin/bash -l | ||
#SBATCH -N 1 | ||
#SBATCH -t 0-02:59:00 | ||
#SBATCH -p core | ||
#SBATCH --ntasks-per-node=5 | ||
#SBATCH --mem-per-cpu=2G | ||
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source /projects/cc/mai/miniconda3/bin/activate /projects/cc/mai/miniconda3/envs/Icolos | ||
python /projects/cc/mai/Icolos/executor.py -conf /projects/cc/mai/examples/Icolos/MPI_test/workflow_ReSCoSS.json \ | ||
--global_variables "output_dir:<path>/icolos/tests/junk" -debug | ||
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