mathcom/MolBit

De novo Drug Design via Binary Representations of SMILES for avoiding the Posterior Collapse Problem (BIBM 2021)

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Emerging

This project helps medicinal chemists and drug discovery researchers generate new drug-like molecular structures. It takes a dataset of existing molecular structures, represented as SMILES strings, and outputs a list of novel molecular designs that can be further optimized for desired properties. This tool is designed for scientists working on the early stages of drug discovery, aiming to explore chemical space more efficiently.

No commits in the last 6 months.

Use this if you need to rapidly explore and generate new, diverse molecular structures for drug discovery that are less prone to common issues in generative models.

Not ideal if you are looking for a tool to simulate molecular interactions or perform detailed quantum chemistry calculations, as it focuses solely on molecular generation.

drug-discovery medicinal-chemistry molecular-design cheminformatics drug-development
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

8

Forks

3

Language

Jupyter Notebook

License

BSD-3-Clause

Last pushed

Jan 26, 2025

Commits (30d)

0

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