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Description

moldrug is a Python package for drug-oriented optimization in the chemical space. It uses a Genetic Algorithm (GA) as a search engine in the chemical space and CReM library as chemical structure generator.

You can try it out before any installation on Binder.

You can use moldrug-Dashboard to process the results.

Documentation

The installation instructions, documentation and tutorials can be found online on ReadTheDocs.

Issues

If you have found a bug, please open an issue on the GitHub Issues.

Discussion

If you have questions on how to use moldrug, or if you want to give feedback or share ideas and new features, please head to the GitHub Discussions.

Citing moldrug

Please refer to the citation page on the documentation.

Funding

This project received funding from Marie Skłodowska-Curie Actions. It was developed in the Computational Biophysics Group of Saarland University in collaboration with the pharmaceutical company Boehringer Ingelheim.

Metadata

Release files for moldrug 3.7.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for moldrug 3.7.3
File Size Uploaded Provenance
moldrug-3.7.3.tar.gz 305.6 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for moldrug 3.7.3
File Interpreter ABI Platform
moldrug-3.7.3-py3-none-any.whl Python 3 none any Details

Total release size: 613.5 kB

Release files / moldrug-3.7.3.tar.gz

Download URL moldrug-3.7.3.tar.gz
Size 305.6 kB
Tags Source
SHA-256 checksum
How to use checksums
1d915993a02e95ee9ee735e560ba9373f4c872b61f8f0bd9e2add25f599a73e8
BLAKE2b-256 checksum
How to use checksums
fc289bb39c12e343628d5813276e856b5eee479f47d81f6f3af5a84a61ae2793
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.14

Release files / moldrug-3.7.3-py3-none-any.whl

Download URL moldrug-3.7.3-py3-none-any.whl
Size 307.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1795b2e9379c18c8ad8c7f71d3dc8db118576bf4dec3afb7a2103b10b1cd3d21
BLAKE2b-256 checksum
How to use checksums
baea5ace9b448832cc4c2ec54b70c55b934309154e7237e314e2a4fb6594eca0
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.1 CPython/3.10.14

Security for moldrug 3.7.3

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This release

3.7.3 This release

2 release files No provenance

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