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Updated: Sep 4, 2025

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
Published on: April 13, 2022
Synthesis-Aware Generation of Structural Analogues
Uschi Dolfus1, Hans Briem2, Matthias Rarey1
1Universität Hamburg, ZBH - Center for Bioinformatics, Bundesstraße 43, Hamburg, 20146, Germany.
Abstract:
In modern drug design, one of the main issues is the optimization of an initial lead structure toward a drug candidate by modifying specific properties in the desired direction. The synthetic feasibility of the target structure is often neglected during this process, resulting in structures with low or suboptimal synthetic accessibility. In this work, we present a novel approach for synthesis-aware lead optimization called Synthesia. In contrast to the traditional approaches, Synthesia integrates the preservation of the synthesizability of the target structure into the lead structure modification process. Synthesia is able to create structural diversity for a lead structure that matches user-defined molecular properties without losing the applicability of a particular synthetic pathway. The methodology is validated by demonstrating that Synthesia is capable of providing structural analogues of DrugBank compounds that meet generic modification goals and maintain their synthetic pathways. In addition, Synthesia is used to cluster compounds from two different patent structure series (CDK7, Daurismo) according to their compatibility with the same synthetic pathways, maximizing the synthetic efficiency and providing an initial estimation of the effort of synthesizing the entire series. Altogether, we demonstrate Synthesia's ability to modify compound properties while maintaining in silico synthesizability.
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