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.
Authors
- David A. Liberles
- A Tang
Institutions
- Temple University (US)
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
- Field-Weighted Citation Impact
- 0.00