Generative chemistry
MolGen
Interactive deep-learning system for molecular generation and property optimisation.
Documented system flow
How MolGen is structured
Select a node to inspect its role.
Chemical representations
Molecular data enters the experimentation workflow.
Interactive readme
Explore MolGen
A concise, source-backed implementation record with the available project actions.
What is documented
- Generates, analyses, and optimises molecular structures for drug discovery and chemical research.
- Uses neural generative modelling on chemical representations to explore chemical space while maintaining chemical validity and structural diversity.
- Integrates preprocessing, training, and property evaluation for drug-likeness and solubility.
Technology used
Deep LearningComputational ChemistryJupyter
Source: supplied LinkedIn. This is a concise visualization of documented components, not a full internal deployment blueprint.