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A Simple Strategy to Eliminate Glycation Bias in the Relative Quantification of Protein N-glycosylation

Authors: Esser-Skala, Wolfgang; Wohlschlager, Therese; Regl, Christof; Huber, Christian G.;

A Simple Strategy to Eliminate Glycation Bias in the Relative Quantification of Protein N-glycosylation

Abstract

Contents Supplementary files for “A Simple Strategy to Eliminate Glycation Bias in the Relative Quantification of Protein N-glycosylation” by Esser-Skala et al (2020): cafog_raw_data.tar.gz: Raw data for denosumab and NISTmAb. cafog_source_code.zip: Supplementary file 1 from the manuscript. This ZIP archive contains the source code of CAFOG. data.zip: Supplementary file 2 from the manuscript. Files in this ZIP archive allow to reproduce all results presented in the manuscript. Changelog 1.1.0 – 2023-05-25 added supplementary files 1 and 2 mentioned in the manuscript, since those were not published along with the manuscript 1.0.0 – 2020-01-30 initial release

The financial support by the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation of Research, Technology, and Development, as well as a Start-up Grant of the State of Salzburg is gratefully acknowledged.

Related Organizations
Keywords

post-translational modification, monoclonal antibody, bioinformatics, biopharmaceutical, mass spectrometry

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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