SMILES alignment: a dynamic programming approach for the alignment of metabolites and other small organic molecules

The study introduces an algorithm that quantifies molecular transformations in metabolic pathways. The algorithm effectively highlights structural changes and was applied to a hypothesis about the transition from linear to cyclical structures. The software, which provides valuable insights into molecular transformations, is available at: https://github.com/24atang/SMILES-Alignment.git.

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Publication Details

Journal
BMC Bioinformatics
Published
2025-10-17
DOI
https://doi.org/10.1186/s12859-025-06278-y
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

SMILES alignment: a dynamic programming approach for the alignment of metabolites and other small organic molecules

David A. Liberles, A Tang
BMC Bioinformatics
Computational Drug Discovery Methods
article

SMILES alignment: a dynamic programming approach for the alignment of metabolites and other small organic molecules

David A. Liberles, A Tang
article en

Abstract

The study introduces an algorithm that quantifies molecular transformations in metabolic pathways. The algorithm effectively highlights structural changes and was applied to a hypothesis about the transition from linear to cyclical structures. The software, which provides valuable insights into molecular transformations, is available at: https://github.com/24atang/SMILES-Alignment.git.

BMC BioinformaticsVol. 26(1)
Temple University (US)
Openalex Percentile: Top 69%
Computational Drug Discovery Methods
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SMILES alignment: a dynamic programming approach for the alignment of metabolites and other small organic molecules — David A. Liberles, A Tang · BMC Bioinformatics (2025) | TGRS Research Map | TGRS