Exploring Synthesizable Chemical Space with Iterative Pathway Refinements

ICLROral2026

Authors
Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Gopal Paliwal, Weili Nie, Arash Vahdat
Affiliation
Korea Advanced Institute of Science and Technology
Venue
ICLR 2026
Track
Oral

TL;DR

A well-known pitfall of molecular generative models is that they are not guaranteed to generate synthesizable molecules. Existing solutions for this problem often struggle to effectively navigate exponentially large combinatorial space of synthesizable molecules and suffer from poor coverage.

Opening excerpt from the authors’ abstract. source

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Topics

generative model molecule rag

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