Project Name
cyclicpeptide is a Python package developed based on RDKit and NetworkX, specifically designed for the analysis and processing of cyclic peptide molecules. It includes tools such as Structure2Sequence, Sequence2Structure, GraphAlignment, PropertyAnalysis, StructureTransformer and SequenceTransformer (for format transformation), and SequenceGeneration. This package is open-source (https://github.com/dfwlab/cyclicpeptide) and provides detailed documentation (https://dfwlab.github.io/cyclicpeptide/) to support users in effectively utilizing tools.
Installation
To install the project, you can use pip:
pip install cyclicpeptide
Usage
Here's how you can use the project in your Python code:
from cyclicpeptide import module
module: PropertieyAnalyis/Sequence2Structure/Structure2Sequence/GraphAlignment/SequenceTransformer/SequenceTransformer/IOManager
# Example code
from cyclicpeptide import PropertieyAnalyis as PA
exmaple = [('Ctopa(CP00005)',
'CC(C1C(=O)NC(C(SSCC(C(=O)NC(C(=O)NC(C(=O)NC(C(=O)N1)CCCN)CC2=CNC3=CC=CC=C32)CC4=CC=C(C=C4)O)NC(=O)C(CC5=CC=CC=C5)N)(C)C)C(=O)NC(C(C)O)C(=O)N)O',
'FCYWATCT'),
('alpha-Amanitine(CP01656)',
'CC[C@H](C)[C@H]1C(=O)NCC(=O)N[C@H]2C[S@@](=O)C3=C(C[C@@H](C(=O)NCC(=O)N1)NC(=O)[C@@H](NC(=O)[C@@H]4C[C@H](CN4C(=O)[C@@H](NC2=O)CC(=O)N)O)[C@@H](C)[C@H](CO)O)C5=C(N3)C=C(C=C5)O',
'ATPTTT'),
('Anidulafungin(CP00145)',
'CCCCCOC1=CC=C(C=C1)C2=CC=C(C=C2)C3=CC=C(C=C3)C(=O)NC4CC(C(NC(=O)C5C(C(CN5C(=O)C(NC(=O)C(NC(=O)C6CC(CN6C(=O)C(NC4=O)C(C)O)O)C(C(C7=CC=C(C=C7)O)O)O)C(C)O)C)O)O)O',
'AA')]
smiles = exmaple[0][1]
sequence = exmaple[0][2]
print(PA.chemial_physical_properties_from_smiles(smiles))
Contributing
If you would like to contribute to the project, please follow these steps:
1.Fork the repository
2.Create a new branch (git checkout -b feature)
3.Make your changes
4.Commit your changes (git commit -am 'Add new feature')
5.Push to the branch (git push origin feature)
6.Create a new Pull Request
License
This project is licensed under the MIT License - see the LICENSE.md file for details.
Contact
If you have any questions or concerns, feel free to contact me at dfw_bioinfo@126.com.
Metadata
Release files for cyclicpeptide 1.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cyclicpeptide-1.4.2.tar.gz | 54.6 kB | Without provenance | Details for cyclicpeptide-1.4.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| cyclicpeptide-1.4.2-py3-none-any.whl | Python 3 | none | any | Details for cyclicpeptide-1.4.2-py3-none-any.whl |
Total release size: 112.6 kB
Release files / cyclicpeptide-1.4.2.tar.gz
| Download URL | cyclicpeptide-1.4.2.tar.gz |
|---|---|
| Size | 54.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.6
|
Release files / cyclicpeptide-1.4.2-py3-none-any.whl
| Download URL | cyclicpeptide-1.4.2-py3-none-any.whl |
|---|---|
| Size | 58.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
54b5e3a8ad62f50fd8f0073b67673d15644dc17942c3352db141250fbbe4c8c7
|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.6
|
Security for cyclicpeptide 1.4.2
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