AcAuto3D


NameAcAuto3D JSON
Version 1.0.1 PyPI version JSON
download
home_pagehttps://github.com/isayevlab/Auto3D_pkg
SummaryGenerating Low-energy 3D Conformers from SMILES/SDF
upload_time2024-03-22 09:53:33
maintainerNone
docs_urlNone
author'Zhen Liu, Tetiana Zubatiuk, Adrian Roitberg, Olexandr Isayev'
requires_python>=3.7
licenseNone
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # **Auto3D**
<a href="https://pypi.org/project/Auto3D/" target="_blank"><img src="https://img.shields.io/badge/pypi-url-informational" alt="pypi_link"></a>
![PyPI](https://img.shields.io/pypi/v/Auto3D)
![PyPI - Downloads](https://img.shields.io/pypi/dm/Auto3D)
![PyPI - License](https://img.shields.io/pypi/l/Auto3D)

<img width="1109" alt="image" src="https://user-images.githubusercontent.com/60156077/180329514-c72d7b92-91a8-431b-9339-1445d5cacd20.png">




**Auto3D** is a Python package for generating low-energy conformers from SMILES/SDF. It automatizes the stereoisomer enumeration and duplicate filtering process, 3D building process, fast geometry optimization and ranking process using ANI and AIMNet neural network atomistic potentials. Auto3D can be imported as a Python library, or be excuted from the terminal.

Please check out the information at [**documentation**](https://auto3d.readthedocs.io/en/latest/index.html), including [installation](https://auto3d.readthedocs.io/en/latest/installation.html), [usage](https://auto3d.readthedocs.io/en/latest/usage.html), [API](https://auto3d.readthedocs.io/en/latest/api.html) and [citation](https://auto3d.readthedocs.io/en/latest/citation.html).

- **Jupyter notebook examples** can be found [here](https://github.com/isayevlab/Auto3D_pkg/tree/main/example)
- To-do list for **improvement and new features** can be found [here](https://github.com/isayevlab/Auto3D_pkg/discussions). You are welcomed to share your thoughts.
- Bugs go to the [issues](https://github.com/isayevlab/Auto3D_pkg/issues)

## Minimum Dependencies Installatioin
1. Python >= 3.7
2. [RDKit](https://www.rdkit.org/docs/Install.html) >= 2022.03.1(For the isomer engine)
3. [PyTorch](https://pytorch.org/get-started/locally/) >= 2.1.0 (For the optimization engine)

If you have an environment with the above dependencies, Auto3D can be installed by
```{bash}
pip install Auto3D
```
Otherwise, you can create an environment and install Auto3D. In a terminal, the following code will create a environment named `auto3D` with Auto3D and its minimum dependencies installed.
```{bash}
git clone https://github.com/isayevlab/Auto3D_pkg.git
cd Auto3D_pkg
conda env create --file installation.yml --name auto3D
conda activate auto3D
pip install Auto3D
```

            

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    "description": "# **Auto3D**\n<a href=\"https://pypi.org/project/Auto3D/\" target=\"_blank\"><img src=\"https://img.shields.io/badge/pypi-url-informational\" alt=\"pypi_link\"></a>\n![PyPI](https://img.shields.io/pypi/v/Auto3D)\n![PyPI - Downloads](https://img.shields.io/pypi/dm/Auto3D)\n![PyPI - License](https://img.shields.io/pypi/l/Auto3D)\n\n<img width=\"1109\" alt=\"image\" src=\"https://user-images.githubusercontent.com/60156077/180329514-c72d7b92-91a8-431b-9339-1445d5cacd20.png\">\n\n\n\n\n**Auto3D** is a Python package for generating low-energy conformers from SMILES/SDF. It automatizes the stereoisomer enumeration and duplicate filtering process, 3D building process, fast geometry optimization and ranking process using ANI and AIMNet neural network atomistic potentials. Auto3D can be imported as a Python library, or be excuted from the terminal.\n\nPlease check out the information at [**documentation**](https://auto3d.readthedocs.io/en/latest/index.html), including [installation](https://auto3d.readthedocs.io/en/latest/installation.html), [usage](https://auto3d.readthedocs.io/en/latest/usage.html), [API](https://auto3d.readthedocs.io/en/latest/api.html) and [citation](https://auto3d.readthedocs.io/en/latest/citation.html).\n\n- **Jupyter notebook examples** can be found [here](https://github.com/isayevlab/Auto3D_pkg/tree/main/example)\n- To-do list for **improvement and new features** can be found [here](https://github.com/isayevlab/Auto3D_pkg/discussions). You are welcomed to share your thoughts.\n- Bugs go to the [issues](https://github.com/isayevlab/Auto3D_pkg/issues)\n\n## Minimum Dependencies Installatioin\n1. Python >= 3.7\n2. [RDKit](https://www.rdkit.org/docs/Install.html) >= 2022.03.1(For the isomer engine)\n3. [PyTorch](https://pytorch.org/get-started/locally/) >= 2.1.0 (For the optimization engine)\n\nIf you have an environment with the above dependencies, Auto3D can be installed by\n```{bash}\npip install Auto3D\n```\nOtherwise, you can create an environment and install Auto3D. In a terminal, the following code will create a environment named `auto3D` with Auto3D and its minimum dependencies installed.\n```{bash}\ngit clone https://github.com/isayevlab/Auto3D_pkg.git\ncd Auto3D_pkg\nconda env create --file installation.yml --name auto3D\nconda activate auto3D\npip install Auto3D\n```\n",
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