An empirical analysis of enzyme function reporting for experimental reproducibility : missing/incomplete information in published papers

Tools

Halling, Peter and Fitzpatrick, Paul F. and Raushel, Frank M. and Rohwer, Johann and Schnell, Santiago and Wittig, Ulrike and Wohlgemuth, Roland and Kettner, Carsten (2018) An empirical analysis of enzyme function reporting for experimental reproducibility : missing/incomplete information in published papers. Biophysical Chemistry, 242. pp. 22-27. ISSN 0301-4622 (https://doi.org/10.1016/j.bpc.2018.08.004)

[thumbnail of Halling-etal-BC2018-An-empirical-analysis-of-enzyme-function-reporting]
Preview
 Text. Filename: Halling_etal_BC2018_An_empirical_analysis_of_enzyme_function_reporting.pdf
Accepted Author Manuscript
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo
Download (488kB)| Preview

Abstract

A key component of enzyme function experiments is reporting of considerable metadata, to allow other researchers to replicate, interpret properly or use fully the results. This paper evaluates the completeness of enzyme function data reporting for reproducibility. We present a detailed examination of 11 recent papers (and their supplementary material) from two leading journals. We found that in every paper we were not able to collect some critical information necessary to reproduce the enzyme function findings. Study of 100 papers used by the SABIO-RK database confirmed some of the most common omissions: concentration of enzyme or its substrates, identity of counter-ions in buffers. A computer system should be better at preventing such omissions, helping secure the scientific record. Many of the omissions found would be trapped by the currently available version of STRENDA DB.

ORCID iDs

Halling, Peter ORCID logoORCID: https://orcid.org/0000-0001-5077-4088, Fitzpatrick, Paul F., Raushel, Frank M., Rohwer, Johann, Schnell, Santiago, Wittig, Ulrike, Wohlgemuth, Roland and Kettner, Carsten;
CORE (COnnecting REpositories)