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September 10, 20251 citationsOpen Access

Addressing Synthesizability Challenges in Generative Small-Molecule Design

The elephant in the lab: Synthesizability in generative small-molecule design

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This opinion highlights how generative models improve synthesizability in small molecules, suggesting new research directions.

Incorporating synthesizability into generative models enhances the design of small molecules and accelerates discovery.
Notable advancements in addressing the synthesizability of generated candidates promote more effective molecular design methodologies.
Despite progress, many proposed small molecules remain untested in experimental validation, limiting practical applications.
Continued focus on synthesizability is essential for bridging the gap between computational predictions and laboratory outcomes.

Papidocha et al. (2025) studied this question.

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September 10, 20251 citationsOpen Access

The elephant in the lab: Synthesizability in generative small-molecule design

View Full Paper

Ask AI

Bookmark

Authors

This opinion highlights how generative models improve synthesizability in small molecules, suggesting new research directions.

Incorporating synthesizability into generative models enhances the design of small molecules and accelerates discovery.
Notable advancements in addressing the synthesizability of generated candidates promote more effective molecular design methodologies.
Despite progress, many proposed small molecules remain untested in experimental validation, limiting practical applications.
Continued focus on synthesizability is essential for bridging the gap between computational predictions and laboratory outcomes.

Papidocha et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark