henhaobio
Sign in

MetabolitesBioinformaticsPeer-reviewed journal article

md_harmonize: a Python package for atom-level harmonization of public metabolic data-bases

Huan JiniD, Hunter MoseleyiD

PDFDOIPreprintCode

Abstract

SummaryA big challenge to integrating public metabolic resources is the use of different nomenclatures by individual databases. This paper presents md_harmonize, an open-source Python package for harmonizing compounds and metabolic reactions across various metabolic databases. md_harmonize utilizes a neighborhood-specific graph coloring method for generating a unique identifier for each compound via atom identifiers based on the compound structure. The resulting harmonized compounds and reactions can be used to construct metabolic networks and models for various downstream analyses, including metabolic flux analysis. AvailabilityThe md_harmonize package is implemented in Python and freely available at https://github.com/MoseleyBioinformaticsLab/md_harmonize Contacthunter.moseley@uky.edu Supplementary informationSupplementary data are available at https://doi.org/10.6084/m9.figshare.21699683.

Citations
12

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISJin '21Jin '20Hari '22Banerjee '26Starke '22Yones '21
83% semantic matchSystems Biology
Huan Jin, Hunter Moseley·Metabolites·Jun 30, 2021· 13 citations