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.

PMID: 34932340
PMCID: PMC8757437
Funding: - Terveyden Tutkimuksen Toimikunta: 315492

Links