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An empirical analysis of enzyme function reporting for experimental reproducibility: Missing/incomplete information
Peter Halling1, Paul F Fitzpatrick2, Frank M Raushel3
1WestCHEM, Department of P & A Chemistry, University of Strathclyde, Glasgow G1 1XL, United Kingdom.
Biophysical Chemistry
|September 9, 2018
Summary
Enzyme function data reporting lacks critical information for reproducibility in many studies. Implementing systems like STRENDA DB can help capture essential metadata, improving scientific record integrity.
Area of Science:
- Biochemistry
- Enzymology
- Scientific Reproducibility
Background:
- Enzyme function experiments require comprehensive metadata for replication and interpretation.
- Incomplete reporting hinders the full utilization of scientific findings.
Purpose of the Study:
- To evaluate the completeness of enzyme function data reporting for experimental reproducibility.
- To identify common omissions in published enzyme function studies.
Main Methods:
- Detailed examination of 11 recent papers and supplementary materials from leading journals.
- Analysis of 100 papers utilized by the SABIO-RK database.
Main Results:
- Critical information necessary for reproducing enzyme function findings was missing in every examined paper.
- Common omissions include enzyme/substrate concentrations and buffer counter-ion identity.
- Many identified omissions could be captured by the STRENDA DB system.
Conclusions:
- Current enzyme function data reporting is insufficient for ensuring reproducibility.
- Computerized systems like STRENDA DB can improve metadata completeness and secure the scientific record.
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