sdfconf
sdfconf aggregates and manipulates .sdf files containing multiple molecular conformations to assemble ensembles that link molecular structures, conformers, and associated metadata for chemo- and bioinformatics analyses.
Key Features:
- Data integration: Links diverse molecular data from different sources into cohesive ensembles that allow access to entire datasets as well as individual molecules or conformations.
- Conformation-aware handling: Preserves and manages multiple conformations per molecule within .sdf files for ensemble-level analysis.
- Metadata packaging: Associates molecular structures and conformations with their metadata within the same ensemble representation.
- Implementation: Implemented in Python for programmatic manipulation of .sdf data.
Scientific Applications:
- Chemo-informatics: Enables assembly and interrogation of datasets containing multiple molecular conformations stored in .sdf files for chemical data analysis.
- Bioinformatics: Supports integration of conformational molecular data and associated metadata for bioinformatic studies involving molecular structures.
Methodology:
Aggregates scattered molecular data from .sdf files into structured ensembles that link molecular structures, multiple conformations, and associated metadata.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 5/17/2022
- Last Updated:
- 5/17/2022
Operations
Publications
Lätti ST, Niinivehmas S, Pentikäinen OT. Sdfconf: A Novel, Flexible, and Robust Molecular Data Management Tool. Journal of Chemical Information and Modeling. 2021;62(1):9-15. doi:10.1021/acs.jcim.1c01051. PMID:34932340. PMCID:PMC8757437.
Links
Repository
https://github.com/medchemfi/sdfconf