generative-design

You can generate novel molecules for target-based drug discovery by using generative chemistry algorithms to perform de novo design, creating new drug candidates from scratch based on specific biological targets.

The best way to optimize lead molecules is using generative design algorithms that support multi-objective scoring and optimization, refining existing chemical structures to achieve targeted molecular properties.

Yes, you can design molecular linkers and decorate scaffolds to expand chemical libraries, connecting fragments to create new molecules and enhancing existing molecular structures for material science applications.

Yes, you need REINVENT, MolMIM, and JT-VAE installed, as these advanced algorithms provide the foundational generative chemistry framework required for all molecular design and optimization tasks.

Multi-objective scoring in molecular optimization evaluates generated candidates against multiple desired parameters simultaneously, refining lead molecules to balance various chemical properties required for target-based research.

Use de novo design when generating entirely novel molecules from scratch for new biological targets, and use scaffold decoration when enhancing existing molecular scaffolds to expand known chemical libraries.