GlyLES
GlyLES converts glycans from IUPAC-condensed notation into SMILES strings to represent atomic-level glycan structures for computational analysis.
Key Features:
- Grammar-based parsing: Employs a grammar-based approach to interpret IUPAC-condensed notation and extract glycan structure information.
- Monomer tree construction: Constructs a monomer tree representation of the glycan topology from the parsed IUPAC-condensed input.
- Atomic structure computation: Computes atomic structures for each monomer based on their IUPAC-condensed descriptions.
- SMILES generation: Merges computed monomer structures into a complete glycan representation exported as a SMILES string.
Scientific Applications:
- Visualization and analysis: Provides SMILES representations that enable use of molecular visualization and analysis tools for glycans.
- Substructure search and molecular modeling: Enables substructure searches and integration with molecular modeling workflows using atomic-level representations.
- Docking studies: Supplies SMILES-formatted glycans for docking and interaction studies with other biomolecules.
- Machine learning featurization: Produces SMILES that can be used as features in machine learning models for glycomics analyses.
Methodology:
Parses IUPAC-condensed notation using a grammar-based system to construct a monomer tree, computes atomic structures for each monomer from the IUPAC-condensed descriptions, and merges the monomers into a complete glycan SMILES string.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 3/30/2023
- Last Updated:
- 3/30/2023
Operations
Data Inputs & Outputs
Publications
Joeres R, Bojar D, Kalinina OV. GlyLES: Grammar-based Parsing of Glycans from IUPAC-condensed to SMILES. Journal of Cheminformatics. 2023;15(1). doi:10.1186/s13321-023-00704-0. PMID:36959676. PMCID:PMC10035253.
Documentation
General', 'User manual
https://glyles.readthedocs.io/en/latest/