SynthLens: Visual Analytics for Facilitating Multi-Step Synthetic Route Design

Designing synthetic routes for novel molecules is pivotal in various fields like medicine and chemistry. In this process, researchers need to explore a set of synthetic reactions to transform starting molecules into intermediates step by step until the target novel molecule is obtained. However, designing synthetic routes presents challenges for researchers. First, researchers need to make decisions among numerous possible synthetic reactions at each step, considering various criteria (e.g., yield, experimental duration, and the count of experimental steps) to construct the synthetic route. Second, they must consider the potential impact of one choice at each step on the overall synthetic route. To address these challenges, we proposed SynthLens, a visual analytics system to facilitate the iterative construction of synthetic routes by exploring multiple possibilities for synthetic reactions at each step of construction. Specifically, we have introduced a tree-form visualization in SynthLensto compare and evaluate all the explored routes at various exploration steps, considering both the exploration step and multiple criteria. Our system empowers researchers to consider their construction process comprehensively, guiding them toward promising exploration directions to complete the synthetic route. We validated the usability and effectiveness of SynthLensthrough a quantitative evaluation and expert interviews, highlighting its role in facilitating the design process of synthetic routes. Finally, we discussed the insights of SynthLensto inspire other multi-criteria decision-making scenarios with visual analytics.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-03-18
DOI
https://doi.org/10.1109/tvcg.2025.3552134
Citations
1
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
1.28
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SynthLens: Visual Analytics for Facilitating Multi-Step Synthetic Route Design

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article

SynthLens: Visual Analytics for Facilitating Multi-Step Synthetic Route Design

Ruilong Sheng, Chuhan Shi, Shaolun Ruan, Xiaofu Jin, Min Zhu, Qipeng Wang
article en
1 citations

Abstract

Designing synthetic routes for novel molecules is pivotal in various fields like medicine and chemistry. In this process, researchers need to explore a set of synthetic reactions to transform starting molecules into intermediates step by step until the target novel molecule is obtained. However, designing synthetic routes presents challenges for researchers. First, researchers need to make decisions among numerous possible synthetic reactions at each step, considering various criteria (e.g., yield, experimental duration, and the count of experimental steps) to construct the synthetic route. Second, they must consider the potential impact of one choice at each step on the overall synthetic route. To address these challenges, we proposed SynthLens, a visual analytics system to facilitate the iterative construction of synthetic routes by exploring multiple possibilities for synthetic reactions at each step of construction. Specifically, we have introduced a tree-form visualization in SynthLensto compare and evaluate all the explored routes at various exploration steps, considering both the exploration step and multiple criteria. Our system empowers researchers to consider their construction process comprehensively, guiding them toward promising exploration directions to complete the synthetic route. We validated the usability and effectiveness of SynthLensthrough a quantitative evaluation and expert interviews, highlighting its role in facilitating the design process of synthetic routes. Finally, we discussed the insights of SynthLensto inspire other multi-criteria decision-making scenarios with visual analytics.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(10)
Hong Kong University of Science and Technology (HK), Sichuan University (CN), Southeast University (CN), Singapore Management University (SG)
Openalex Percentile: Top 22%
Data Visualization and Analytics
1.28
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