Comprehensive Statistical Analysis on Estimated Errors of Averagine Model for Intact Proteins

Yuanxi Che, Yuanxi Che

2021

Abstract

Averagine Model (AM) is a very popular and practical computing tool in top-down proteomics, which is usually employed to predict the monoisotopic mass for an unknown protein or a peptide to be of interest. However, with the significant advancement on high-resolution and high-accuracy mass spectrometry (MS) instrumentation, AM’s limitation on its accuracy became more and more significant. Here we studied statistically AM’s mass errors using all proteins in the Human databases. Both the mass errors of estimated monoisotopic mass and average mass for all proteins from the Human protein database are analysed comprehensively in this paper. According to the results obtained, we then found the error range difference between these two different types of mass errors and then we further analysed the error contributions on the individual elemental level of C, H, N, O and S which constitute the proteins. Our analysis will provide an experimental basis to further improve the average model in the top-down proteomics.

Paper Citation

in Harvard Style

Che Y. (2021). Comprehensive Statistical Analysis on Estimated Errors of Averagine Model for Intact Proteins. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 3: BIOINFORMATICS; ISBN 978-989-758-490-9, SciTePress, pages 136-139. DOI: 10.5220/0010299000002865

in Bibtex Style

@conference{bioinformatics21,
author={Yuanxi Che},
title={Comprehensive Statistical Analysis on Estimated Errors of Averagine Model for Intact Proteins},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 3: BIOINFORMATICS},
year={2021},
pages={136-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010299000002865},
isbn={978-989-758-490-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 3: BIOINFORMATICS
TI - Comprehensive Statistical Analysis on Estimated Errors of Averagine Model for Intact Proteins
SN - 978-989-758-490-9
AU - Che Y.
PY - 2021
SP - 136
EP - 139
DO - 10.5220/0010299000002865
PB - SciTePress