Leveraging the Condensed Graph of Reaction for Clustering Retrosynthetic Pathways
Abstract
Modern retrosynthetic tools can propose hundreds of alternative pathways for a single target, making it challenging to effectively explore and navigate the resulting route space. We present a CGR-based framework for the analysis and clustering of synthetic routes that integrates both target-centered and all-species-centered perspectives. Entire reaction pathways are encoded as single-molecule graphs (RouteCGR) or reduced representations retaining only target atoms (SB-CGR), enabling automatic identification of strategic bond patterns (SBPs). These representations can be transformed into Morgan fingerprints for a quantitative route similarity assessment. We propose a two-level clustering strategy in which routes are first grouped by shared SBPs, ensuring high interpretability based on key retrosynthetic disconnections, and then further differentiated using RouteCGR similarity to capture variations in starting materials and auxiliary transformations. The method demonstrates near-linear scalability and computational efficiency for large data sets. Application to synthetic routes for apatinib generated by multiple planning tools reveals tool-dependent diversity in strategic disconnections and highlights the benefit of combining tools to expand route space. The framework also supports cross-target analysis, enabling the identification of reusable route families that share common strategic disconnections and building blocks across related molecules. Overall, the SBP-based approach provides an interpretable and scalable solution for automated synthesis route analysis and informed decision-making. The proposed approach is implemented in SynPlanner retrosynthesis planning software and is available as a standalone module at https://github.com/Laboratoire-de-Chemoinformatique/SynPlanner.
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BibTeX
@article{gilmullin2026leveraging,
title = {{Leveraging the Condensed Graph of Reaction for Clustering Retrosynthetic Pathways}},
author = {Almaz Gilmullin and Tagir Akhmetshin and Dmitry Zankov and Olga Klimchuk and Dragos Horvath and Timur Madzhidov and Alexandre Varnek},
journal = {Journal of Chemical Information and Modeling},
year = {2026},
month = aug,
doi = {10.1021/acs.jcim.6c00489},
url = {https://univoak.hal.science/hal-05779202v1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Leveraging the Condensed Graph of Reaction for Clustering Retrosynthetic Pathways
AU - Almaz Gilmullin
AU - Tagir Akhmetshin
AU - Dmitry Zankov
AU - Olga Klimchuk
AU - Dragos Horvath
AU - Timur Madzhidov
AU - Alexandre Varnek
PY - 2026
DA - 2026/08/21
JO - Journal of Chemical Information and Modeling
DO - 10.1021/acs.jcim.6c00489
UR - https://univoak.hal.science/hal-05779202v1
AB - Modern retrosynthetic tools can propose hundreds of alternative pathways for a single target, making it challenging to effectively explore and navigate the resulting route space. We present a CGR-based framework for the analysis and clustering of synthetic routes that integrates both target-centered and all-species-centered perspectives. Entire reaction pathways are encoded as single-molecule graphs (RouteCGR) or reduced representations retaining only target atoms (SB-CGR), enabling automatic identification of strategic bond patterns (SBPs). These representations can be transformed into Morgan fingerprints for a quantitative route similarity assessment. We propose a two-level clustering strategy in which routes are first grouped by shared SBPs, ensuring high interpretability based on key retrosynthetic disconnections, and then further differentiated using RouteCGR similarity to capture variations in starting materials and auxiliary transformations. The method demonstrates near-linear scalability and computational efficiency for large data sets. Application to synthetic routes for apatinib generated by multiple planning tools reveals tool-dependent diversity in strategic disconnections and highlights the benefit of combining tools to expand route space. The framework also supports cross-target analysis, enabling the identification of reusable route families that share common strategic disconnections and building blocks across related molecules. Overall, the SBP-based approach provides an interpretable and scalable solution for automated synthesis route analysis and informed decision-making. The proposed approach is implemented in SynPlanner retrosynthesis planning software and is available as a standalone module at https://github.com/Laboratoire-de-Chemoinformatique/SynPlanner.
SN - 1549-9596
SN - 1549-960X
ER -