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Updated: Oct 4, 2025

Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
Merging NMR Data and Computation Facilitates Data-Centered Research
Kumaran Baskaran1, D Levi Craft1, Hamid R Eghbalnia1
1Department of Molecular Biology and Biophysics, UConn Health, Farmington, CT, United States.
The Biological Magnetic Resonance Data Bank (BMRB) and NMRbox enhance structural biology research by promoting data and software reuse. Combining these resources accelerates workflows and enables future advances like machine learning.
Area of Science:
- Structural Biology
- Bioinformatics
- Data Science
Background:
- The Biological Magnetic Resonance Data Bank (BMRB) has supported the NMR structural biology community for 40 years, promoting FAIR data principles.
- NMRbox offers NMR software and high-performance computing, complementing BMRB by facilitating software reuse.
Purpose of the Study:
- To highlight the synergistic benefits of combining BMRB and NMRbox resources.
- To emphasize their role in advancing reproducible research and enabling future computational biology applications.
Main Methods:
- Leveraging BMRB for FAIR-compliant structural biology data.
- Utilizing NMRbox for NMR software and computational resources.
- Integrating BMRB and NMRbox to streamline research workflows.
Main Results:
- Combined use of BMRB and NMRbox simplifies and accelerates workflows.
- Facilitates federation of BMRB data with other repositories.
- Enables reproducible research through integrated data and software access.
Conclusions:
- The tandem utilization of BMRB and NMRbox significantly enhances structural biology research.
- This integration is poised to drive advances in areas like machine learning.
- Promotes efficient data and software reuse, accelerating scientific discovery.
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